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https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
Social Network Service
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A social networking service (also social networking site, or SNS or social media) is an online platform which people use to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections.
The social network is distributed across various computer networks. The social networks are inherently computer networks, linking people, organization, and knowledge. Social networking services vary in format and the number of features. They can incorporate a range of new information and communication tools, operating on desktops and on laptops, on mobile devices such as tablet computers and smartphones. They may feature digital photo/video/sharing and "web logging" diary entries online (blogging). Online community services are sometimes considered social-network services by programmers and users, though in a broader sense, a social-network service usually provides an individual-centered service whereas online community services are group-centered. Defined as "websites that facilitate the building of a network of contacts in order to exchange various types of content online," social networking sites provide a space for interaction to continue beyond in person interactions. These computer mediated interactions link members of various networks and may help to both maintain and develop new social ties.Social networking sites allow users to share ideas, digital photos and videos, posts, and to inform others about online or real-world activities and events with people in their network. While in-person social networking – such as gathering in a village market to talk about events – has existed since the earliest development of towns, the Web enables people to connect with others who live in different locations, ranging from across a city to across the world. Depending on the social media platform, members may be able to contact any other member. In other cases, members can contact anyone they have a connection to, and subsequently anyone that contact has a connection to, and so on. The success of social networking services can be seen in their dominance in society today, with Facebook having a massive 2.13 billion active monthly users and an average of 1.4 billion daily active users in 2017. LinkedIn, a career-oriented social-networking service, generally requires that a member personally know another member in real life before they contact them online. Some services require members to have a preexisting connection to contact other members.
The main types of social networking services contain category places (such as age or occupation or religion), means to connect with friends (usually with self-description pages), and a recommendation system linked to trust. One can categorize social-network services into three types:
socializing social network services used primarily for socializing with existing friends (e.g., Facebook)
online social networks are decentralized and distributed computer networks where users communicate with each other through internet services.
networking social network services used primarily for non-social interpersonal communication (e.g., LinkedIn, a career- and employment-oriented site)
social navigation social network services used primarily for helping users to find specific information or resources (e.g., Goodreads for books)There have been attempts to standardize these services to avoid the need to duplicate entries of friends and interests (see the FOAF standard). A study reveals that India recorded world's largest growth in terms of social media users in 2013.
A 2013 survey found that 73% of U.S. adults use social-networking sites.
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http://en.wikipedia.org/wiki/Social Network Service
Article
A social networking service (also social networking site, or SNS or social media) is an online platform which people use to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections.
The social network is distributed across various computer networks. The social networks are inherently computer networks, linking people, organization, and knowledge. Social networking services vary in format and the number of features. They can incorporate a range of new information and communication tools, operating on desktops and on laptops, on mobile devices such as tablet computers and smartphones. They may feature digital photo/video/sharing and "web logging" diary entries online (blogging). Online community services are sometimes considered social-network services by programmers and users, though in a broader sense, a social-network service usually provides an individual-centered service whereas online community services are group-centered. Defined as "websites that facilitate the building of a network of contacts in order to exchange various types of content online," social networking sites provide a space for interaction to continue beyond in person interactions. These computer mediated interactions link members of various networks and may help to both maintain and develop new social ties.Social networking sites allow users to share ideas, digital photos and videos, posts, and to inform others about online or real-world activities and events with people in their network. While in-person social networking – such as gathering in a village market to talk about events – has existed since the earliest development of towns, the Web enables people to connect with others who live in different locations, ranging from across a city to across the world. Depending on the social media platform, members may be able to contact any other member. In other cases, members can contact anyone they have a connection to, and subsequently anyone that contact has a connection to, and so on. The success of social networking services can be seen in their dominance in society today, with Facebook having a massive 2.13 billion active monthly users and an average of 1.4 billion daily active users in 2017. LinkedIn, a career-oriented social-networking service, generally requires that a member personally know another member in real life before they contact them online. Some services require members to have a preexisting connection to contact other members.
The main types of social networking services contain category places (such as age or occupation or religion), means to connect with friends (usually with self-description pages), and a recommendation system linked to trust. One can categorize social-network services into three types:
socializing social network services used primarily for socializing with existing friends (e.g., Facebook)
online social networks are decentralized and distributed computer networks where users communicate with each other through internet services.
networking social network services used primarily for non-social interpersonal communication (e.g., LinkedIn, a career- and employment-oriented site)
social navigation social network services used primarily for helping users to find specific information or resources (e.g., Goodreads for books)There have been attempts to standardize these services to avoid the need to duplicate entries of friends and interests (see the FOAF standard). A study reveals that India recorded world's largest growth in terms of social media users in 2013.
A 2013 survey found that 73% of U.S. adults use social-networking sites.
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Social networking service
Bottom Center
A social networking service (also social networking site, or SNS or social media) is an online platform which people use to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections.
The social network is distributed across various computer networks. The social networks are inherently computer networks, linking people, organization, and knowledge. Social networking services vary in format and the number of features. They can incorporate a range of new information and communication tools, operating on desktops and on laptops, on mobile devices such as tablet computers and smartphones. They may feature digital photo/video/sharing and "web logging" diary entries online (blogging). Online community services are sometimes considered social-network services by programmers and users, though in a broader sense, a social-network service usually provides an individual-centered service whereas online community services are group-centered. Defined as "websites that facilitate the building of a network of contacts in order to exchange various types of content online," social networking sites provide a space for interaction to continue beyond in person interactions. These computer mediated interactions link members of various networks and may help to both maintain and develop new social ties.Social networking sites allow users to share ideas, digital photos and videos, posts, and to inform others about online or real-world activities and events with people in their network. While in-person social networking – such as gathering in a village market to talk about events – has existed since the earliest development of towns, the Web enables people to connect with others who live in different locations, ranging from across a city to across the world. Depending on the social media platform, members may be able to contact any other member. In other cases, members can contact anyone they have a connection to, and subsequently anyone that contact has a connection to, and so on. The success of social networking services can be seen in their dominance in society today, with Facebook having a massive 2.13 billion active monthly users and an average of 1.4 billion daily active users in 2017. LinkedIn, a career-oriented social-networking service, generally requires that a member personally know another member in real life before they contact them online. Some services require members to have a preexisting connection to contact other members.
The main types of social networking services contain category places (such as age or occupation or religion), means to connect with friends (usually with self-description pages), and a recommendation system linked to trust. One can categorize social-network services into three types:
socializing social network services used primarily for socializing with existing friends (e.g., Facebook)
online social networks are decentralized and distributed computer networks where users communicate with each other through internet services.
networking social network services used primarily for non-social interpersonal communication (e.g., LinkedIn, a career- and employment-oriented site)
social navigation social network services used primarily for helping users to find specific information or resources (e.g., Goodreads for books)There have been attempts to standardize these services to avoid the need to duplicate entries of friends and interests (see the FOAF standard). A study reveals that India recorded world's largest growth in terms of social media users in 2013.
A 2013 survey found that 73% of U.S. adults use social-networking sites.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Social networking service
Article
A social networking service (also social networking site, or SNS or social media) is an online platform which people use to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections.
The social network is distributed across various computer networks. The social networks are inherently computer networks, linking people, organization, and knowledge. Social networking services vary in format and the number of features. They can incorporate a range of new information and communication tools, operating on desktops and on laptops, on mobile devices such as tablet computers and smartphones. They may feature digital photo/video/sharing and "web logging" diary entries online (blogging). Online community services are sometimes considered social-network services by programmers and users, though in a broader sense, a social-network service usually provides an individual-centered service whereas online community services are group-centered. Defined as "websites that facilitate the building of a network of contacts in order to exchange various types of content online," social networking sites provide a space for interaction to continue beyond in person interactions. These computer mediated interactions link members of various networks and may help to both maintain and develop new social ties.Social networking sites allow users to share ideas, digital photos and videos, posts, and to inform others about online or real-world activities and events with people in their network. While in-person social networking – such as gathering in a village market to talk about events – has existed since the earliest development of towns, the Web enables people to connect with others who live in different locations, ranging from across a city to across the world. Depending on the social media platform, members may be able to contact any other member. In other cases, members can contact anyone they have a connection to, and subsequently anyone that contact has a connection to, and so on. The success of social networking services can be seen in their dominance in society today, with Facebook having a massive 2.13 billion active monthly users and an average of 1.4 billion daily active users in 2017. LinkedIn, a career-oriented social-networking service, generally requires that a member personally know another member in real life before they contact them online. Some services require members to have a preexisting connection to contact other members.
The main types of social networking services contain category places (such as age or occupation or religion), means to connect with friends (usually with self-description pages), and a recommendation system linked to trust. One can categorize social-network services into three types:
socializing social network services used primarily for socializing with existing friends (e.g., Facebook)
online social networks are decentralized and distributed computer networks where users communicate with each other through internet services.
networking social network services used primarily for non-social interpersonal communication (e.g., LinkedIn, a career- and employment-oriented site)
social navigation social network services used primarily for helping users to find specific information or resources (e.g., Goodreads for books)There have been attempts to standardize these services to avoid the need to duplicate entries of friends and interests (see the FOAF standard). A study reveals that India recorded world's largest growth in terms of social media users in 2013.
A 2013 survey found that 73% of U.S. adults use social-networking sites.
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Social_network_analysis
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Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, memes spread, information circulation, friendship and acquaintance networks, business networks, social networks, collaboration graphs, kinship, disease transmission, and sexual relationships. These networks are often visualized through sociograms in which nodes are represented as points and ties are represented as lines. These visualizations provide a means of qualitatively assessing networks by varying the visual representation of their nodes and edges to reflect attributes of interest. Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, demography, communication studies, economics, geography, history, information science, organizational studies, political science, social psychology, development studies, sociolinguistics, and computer science and is now commonly available as a consumer tool (see the list of SNA software).
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Social_network_analysis
Article
Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, memes spread, information circulation, friendship and acquaintance networks, business networks, social networks, collaboration graphs, kinship, disease transmission, and sexual relationships. These networks are often visualized through sociograms in which nodes are represented as points and ties are represented as lines. These visualizations provide a means of qualitatively assessing networks by varying the visual representation of their nodes and edges to reflect attributes of interest. Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, demography, communication studies, economics, geography, history, information science, organizational studies, political science, social psychology, development studies, sociolinguistics, and computer science and is now commonly available as a consumer tool (see the list of SNA software).
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Social Networking websites
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Social software
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Social software, also known as Web 2.0 applications or social apps, include communication and interactive tools often based on the Internet. Communication tools typically handle the capturing, storing and presentation of communication, usually written but increasingly including audio and video as well. Interactive tools handle mediated interactions between a pair or group of users. They focus on establishing and maintaining a connection among users, facilitating the mechanics of conversation and talk. Although we do not have a generally accepted definition, social software generally refers to software that makes collaborative behaviour, the organisation and moulding of communities, self-expression, social interaction and feedback possible for individuals. Another important element of the existing definition of "social software" is that it allows for the structured mediation of opinion between people, in a centralized or self-regulating manner. The most improved area for social software is that Web 2.0 applications can all promote cooperation between people and the creation of online communities more than ever before.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Social software
Article
Social software, also known as Web 2.0 applications or social apps, include communication and interactive tools often based on the Internet. Communication tools typically handle the capturing, storing and presentation of communication, usually written but increasingly including audio and video as well. Interactive tools handle mediated interactions between a pair or group of users. They focus on establishing and maintaining a connection among users, facilitating the mechanics of conversation and talk. Although we do not have a generally accepted definition, social software generally refers to software that makes collaborative behaviour, the organisation and moulding of communities, self-expression, social interaction and feedback possible for individuals. Another important element of the existing definition of "social software" is that it allows for the structured mediation of opinion between people, in a centralized or self-regulating manner. The most improved area for social software is that Web 2.0 applications can all promote cooperation between people and the creation of online communities more than ever before.
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Social web
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The social web is a set of social relations that link people through the World Wide Web. The social web encompasses how websites and software are designed and developed in order to support and foster social interaction. These online social interactions form the basis of much online activity including online shopping, education, gaming and social networking websites. The social aspect of Web 2.0 communication has been to facilitate interaction between people with similar tastes. These tastes vary depending on who the target audience is, and what they are looking for. For individuals working in the public relation department, the job is consistently changing and the impact is coming from the social web. The influence, held by the social network is large and ever changing.
As people's activities on the Web and communication increase, information about their social relationships become more available. Social networking sites such as MySpace and Facebook, as well as the future Dataweb enable people and organizations to contact each other with persistent human-friendly names. Today hundreds of millions of Internet users are using thousands of social websites to stay connected with their friends, discover new "friends", and to share user-created content, such as photos, videos, social bookmarks, and blogs, even through mobile platform support for cell phones. By the second quarter in 2017, Facebook reported 1.86 billion members, and, in 2008, MySpace occupied 100 million users and YouTube had more than 100 million videos and 2.9 million user channels, and these numbers are consistently growing. The social Web is quickly reinventing itself, moving beyond simple web applications that connect individuals to live an entirely new way of life.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Social web
Article
The social web is a set of social relations that link people through the World Wide Web. The social web encompasses how websites and software are designed and developed in order to support and foster social interaction. These online social interactions form the basis of much online activity including online shopping, education, gaming and social networking websites. The social aspect of Web 2.0 communication has been to facilitate interaction between people with similar tastes. These tastes vary depending on who the target audience is, and what they are looking for. For individuals working in the public relation department, the job is consistently changing and the impact is coming from the social web. The influence, held by the social network is large and ever changing.
As people's activities on the Web and communication increase, information about their social relationships become more available. Social networking sites such as MySpace and Facebook, as well as the future Dataweb enable people and organizations to contact each other with persistent human-friendly names. Today hundreds of millions of Internet users are using thousands of social websites to stay connected with their friends, discover new "friends", and to share user-created content, such as photos, videos, social bookmarks, and blogs, even through mobile platform support for cell phones. By the second quarter in 2017, Facebook reported 1.86 billion members, and, in 2008, MySpace occupied 100 million users and YouTube had more than 100 million videos and 2.9 million user channels, and these numbers are consistently growing. The social Web is quickly reinventing itself, moving beyond simple web applications that connect individuals to live an entirely new way of life.
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Social network analysis software
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Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation.
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http://en.wikipedia.org/wiki/Social network analysis software
Article
Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation.
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social network
Bottom Center
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social network
Article
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.
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Facebook
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Facebook, Inc. is an American online social media and social networking service company. It is based in Menlo Park, California. It was founded by Mark Zuckerberg, along with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz and Chris Hughes. It is considered one of the Big Four technology companies along with Amazon, Apple, and Google.The founders initially limited the website's membership to Harvard students and subsequently Columbia, Stanford, and Yale students. Membership was eventually expanded to the remaining Ivy League schools, MIT, and higher education institutions in the Boston area. Facebook gradually added support for students at various other universities, and eventually to high school students. Since 2006, anyone who claims to be at least 13 years old has been allowed to become a registered user of Facebook, though variations exist in this requirement, depending on local laws. The name comes from the face book directories often given to American university students. Facebook held its initial public offering (IPO) in February 2012, valuing the company at $104 billion, the largest valuation to date for a newly listed public company. It began selling stock to the public three months later. Facebook makes most of its revenue from advertisements that appear onscreen.
The Facebook service can be accessed from devices with Internet connectivity, such as personal computers, tablets and smartphones. After registering, users can create a customized profile revealing information about themselves. Users can post text, photos and multimedia of their own devising and share it with other users as "friends". Users can use various embedded apps, and receive notifications of their friends' activities. Users may join common-interest groups.
Facebook had more than 2.2 billion monthly active users as of January 2018. It receives prominent media coverage, including many controversies such as user privacy and psychological effects. The company has faced intense pressure over censorship and over content that some users find objectionable.
Facebook's initial public offering (IPO) in February 2012 was the largest initial valuation to date for a public company ($104 billion).
Facebook offers other products and services. It acquired Instagram, WhatsApp and Oculus Rift and independently developed Facebook Messenger.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Facebook
Article
Facebook, Inc. is an American online social media and social networking service company. It is based in Menlo Park, California. It was founded by Mark Zuckerberg, along with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz and Chris Hughes. It is considered one of the Big Four technology companies along with Amazon, Apple, and Google.The founders initially limited the website's membership to Harvard students and subsequently Columbia, Stanford, and Yale students. Membership was eventually expanded to the remaining Ivy League schools, MIT, and higher education institutions in the Boston area. Facebook gradually added support for students at various other universities, and eventually to high school students. Since 2006, anyone who claims to be at least 13 years old has been allowed to become a registered user of Facebook, though variations exist in this requirement, depending on local laws. The name comes from the face book directories often given to American university students. Facebook held its initial public offering (IPO) in February 2012, valuing the company at $104 billion, the largest valuation to date for a newly listed public company. It began selling stock to the public three months later. Facebook makes most of its revenue from advertisements that appear onscreen.
The Facebook service can be accessed from devices with Internet connectivity, such as personal computers, tablets and smartphones. After registering, users can create a customized profile revealing information about themselves. Users can post text, photos and multimedia of their own devising and share it with other users as "friends". Users can use various embedded apps, and receive notifications of their friends' activities. Users may join common-interest groups.
Facebook had more than 2.2 billion monthly active users as of January 2018. It receives prominent media coverage, including many controversies such as user privacy and psychological effects. The company has faced intense pressure over censorship and over content that some users find objectionable.
Facebook's initial public offering (IPO) in February 2012 was the largest initial valuation to date for a public company ($104 billion).
Facebook offers other products and services. It acquired Instagram, WhatsApp and Oculus Rift and independently developed Facebook Messenger.
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Social media analytics
Bottom Center
Social media analytics is the process of gathering data from stakeholder conversations on digital media and processing into structured insights leading to more information-driven business decisions and increased customer centrality for brands and businesses.Social media analytics is an interdisciplinary area that is used in social science and computer sciences interchangeably. Social media analytics provides a human trace to the social scientist which could be used in wide spectrum of disciplines such as sociology, political sciences, and geology. Social media provides two broad contexts from social scientist perspective; it provides a wide range of data in already well established social science subjects such as political sciences and sociology, and social media sometimes is seen as a fundamental change in underlying assumptions of the social theory. Political scientists can follow unfolding political protest online and the exchange of information between communities of different languages. Meanwhile, it is very difficult to connect the social scientific understanding of social to social media data. For example, the concept of conventional friendship hardly applies to the concept of friendship in social media.
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http://en.wikipedia.org/wiki/Social media analytics
Article
Social media analytics is the process of gathering data from stakeholder conversations on digital media and processing into structured insights leading to more information-driven business decisions and increased customer centrality for brands and businesses.Social media analytics is an interdisciplinary area that is used in social science and computer sciences interchangeably. Social media analytics provides a human trace to the social scientist which could be used in wide spectrum of disciplines such as sociology, political sciences, and geology. Social media provides two broad contexts from social scientist perspective; it provides a wide range of data in already well established social science subjects such as political sciences and sociology, and social media sometimes is seen as a fundamental change in underlying assumptions of the social theory. Political scientists can follow unfolding political protest online and the exchange of information between communities of different languages. Meanwhile, it is very difficult to connect the social scientific understanding of social to social media data. For example, the concept of conventional friendship hardly applies to the concept of friendship in social media.
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Social media mining
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Social media mining is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research. The term is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to sift through vast quantities of raw ore to find the precious minerals; likewise, social media mining requires human data analysts and automated software programs to sift through massive amounts of raw social media data in order to discern patterns and trends relating to social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, and more. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs, new products, processes or services.
Social media mining uses a range of basic concepts from computer science, data mining, machine learning and statistics. Social media miners develop algorithms suitable for investigating massive files of social media data. Social media mining is based on theories and methodologies from social network analysis, network science, sociology, ethnography, optimization and mathematics. It encompasses the tools to formally represent, measure and model meaningful patterns from large-scale social media data. In the 2010s, major corporations, governments and not-for-profit organizations engaged in social media mining to obtain data about customers, clients and citizens.
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http://en.wikipedia.org/wiki/Social media mining
Article
Social media mining is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research. The term is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to sift through vast quantities of raw ore to find the precious minerals; likewise, social media mining requires human data analysts and automated software programs to sift through massive amounts of raw social media data in order to discern patterns and trends relating to social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, and more. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs, new products, processes or services.
Social media mining uses a range of basic concepts from computer science, data mining, machine learning and statistics. Social media miners develop algorithms suitable for investigating massive files of social media data. Social media mining is based on theories and methodologies from social network analysis, network science, sociology, ethnography, optimization and mathematics. It encompasses the tools to formally represent, measure and model meaningful patterns from large-scale social media data. In the 2010s, major corporations, governments and not-for-profit organizations engaged in social media mining to obtain data about customers, clients and citizens.
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political science
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Political science is a social science which deals with systems of governance, and the analysis of political activities, political thoughts, and political behavior. It deals extensively with the theory and practice of politics which is commonly thought of as determining of the distribution of power and resources. Political scientists "see themselves engaged in revealing the relationships underlying political events and conditions, and from these revelations they attempt to construct general principles about the way the world of politics works."Political science—occasionally called politicology—comprises numerous subfields, including comparative politics, political economy, international relations, political theory, public administration, public policy, and political methodology. Furthermore, political science is related to, and draws upon, the fields of economics, law, sociology, history, philosophy, geography, psychology/psychiatry, and anthropology.
Comparative politics is the science of comparison and teaching of different types of constitutions, political actors, legislature and associated fields, all of them from an intrastate perspective. International relations deals with the interaction between nation-states as well as intergovernmental and transnational organizations. Political theory is more concerned with contributions of various classical and contemporary thinkers and philosophers.
Political science is methodologically diverse and appropriates many methods originating in social research. Approaches include positivism, interpretivism, rational choice theory, behaviouralism, structuralism, post-structuralism, realism, institutionalism, and pluralism. Political science, as one of the social sciences, uses methods and techniques that relate to the kinds of inquiries sought: primary sources such as historical documents and official records, secondary sources such as scholarly journal articles, survey research, statistical analysis, case studies, experimental research, and model building.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/political science
Article
Political science is a social science which deals with systems of governance, and the analysis of political activities, political thoughts, and political behavior. It deals extensively with the theory and practice of politics which is commonly thought of as determining of the distribution of power and resources. Political scientists "see themselves engaged in revealing the relationships underlying political events and conditions, and from these revelations they attempt to construct general principles about the way the world of politics works."Political science—occasionally called politicology—comprises numerous subfields, including comparative politics, political economy, international relations, political theory, public administration, public policy, and political methodology. Furthermore, political science is related to, and draws upon, the fields of economics, law, sociology, history, philosophy, geography, psychology/psychiatry, and anthropology.
Comparative politics is the science of comparison and teaching of different types of constitutions, political actors, legislature and associated fields, all of them from an intrastate perspective. International relations deals with the interaction between nation-states as well as intergovernmental and transnational organizations. Political theory is more concerned with contributions of various classical and contemporary thinkers and philosophers.
Political science is methodologically diverse and appropriates many methods originating in social research. Approaches include positivism, interpretivism, rational choice theory, behaviouralism, structuralism, post-structuralism, realism, institutionalism, and pluralism. Political science, as one of the social sciences, uses methods and techniques that relate to the kinds of inquiries sought: primary sources such as historical documents and official records, secondary sources such as scholarly journal articles, survey research, statistical analysis, case studies, experimental research, and model building.
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sociology
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Sociology (not to be confused with social neuroscience which which studies the neuronal underpinnings of sociological phenomena ) is the scientific study of society, patterns of social relationships, social interaction, and culture of everyday life. It is a social science that uses various methods of empirical investigation and critical analysis to develop a body of knowledge about social order, acceptance, and change or social evolution. While some sociologists conduct research that may be applied directly to social policy and welfare, others focus primarily on refining the theoretical understanding of social processes. Subject matter ranges from the micro-sociology level of individual agency and interaction to the macro level of systems and the social structure.The different traditional focuses of sociology include social stratification, social class, social mobility, religion, secularization, law, sexuality, gender, and deviance. As all spheres of human activity are affected by the interplay between social structure and individual agency, sociology has gradually expanded its focus to other subjects, such as health, medical, economy, military and penal institutions, the Internet, education, social capital, and the role of social activity in the development of scientific knowledge.
The range of social scientific methods has also expanded. Social researchers draw upon a variety of qualitative and quantitative techniques. The linguistic and cultural turns of the mid-20th century led to increasingly interpretative, hermeneutic, and philosophic approaches towards the analysis of society. Conversely, the end of the 1990s and the beginning of the 2000s have seen the rise of new analytically, mathematically, and computationally rigorous techniques, such as agent-based modelling and social network analysis.Social research informs politicians and policy makers, educators, planners, legislators, administrators, developers, business magnates, managers, social workers, non-governmental organizations, non-profit organizations, and people interested in resolving social issues in general. There is often a great deal of crossover between social research, market research, and other statistical fields.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/sociology
Article
Sociology (not to be confused with social neuroscience which which studies the neuronal underpinnings of sociological phenomena ) is the scientific study of society, patterns of social relationships, social interaction, and culture of everyday life. It is a social science that uses various methods of empirical investigation and critical analysis to develop a body of knowledge about social order, acceptance, and change or social evolution. While some sociologists conduct research that may be applied directly to social policy and welfare, others focus primarily on refining the theoretical understanding of social processes. Subject matter ranges from the micro-sociology level of individual agency and interaction to the macro level of systems and the social structure.The different traditional focuses of sociology include social stratification, social class, social mobility, religion, secularization, law, sexuality, gender, and deviance. As all spheres of human activity are affected by the interplay between social structure and individual agency, sociology has gradually expanded its focus to other subjects, such as health, medical, economy, military and penal institutions, the Internet, education, social capital, and the role of social activity in the development of scientific knowledge.
The range of social scientific methods has also expanded. Social researchers draw upon a variety of qualitative and quantitative techniques. The linguistic and cultural turns of the mid-20th century led to increasingly interpretative, hermeneutic, and philosophic approaches towards the analysis of society. Conversely, the end of the 1990s and the beginning of the 2000s have seen the rise of new analytically, mathematically, and computationally rigorous techniques, such as agent-based modelling and social network analysis.Social research informs politicians and policy makers, educators, planners, legislators, administrators, developers, business magnates, managers, social workers, non-governmental organizations, non-profit organizations, and people interested in resolving social issues in general. There is often a great deal of crossover between social research, market research, and other statistical fields.
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Small world phenomenon
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The small-world experiment comprised several experiments conducted by Stanley Milgram and other researchers examining the average path length for social networks of people in the United States. The research was groundbreaking in that it suggested that human society is a small-world-type network characterized by short path-lengths. The experiments are often associated with the phrase "six degrees of separation", although Milgram did not use this term himself.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Small world phenomenon
Article
The small-world experiment comprised several experiments conducted by Stanley Milgram and other researchers examining the average path length for social networks of people in the United States. The research was groundbreaking in that it suggested that human society is a small-world-type network characterized by short path-lengths. The experiments are often associated with the phrase "six degrees of separation", although Milgram did not use this term himself.
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Organizational patterns
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Organizational patterns are inspired in large part by the principles of the software pattern community, that in turn takes it cues from Christopher Alexander's work on patterns of the built world.
Organizational patterns also have roots in Kroeber's classic anthropological texts on the patterns that underlie culture and society.
They in turn have provided inspiration for the Agile software development movement,
and for the creation of parts of Scrum and of Extreme Programming in particular.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Organizational patterns
Article
Organizational patterns are inspired in large part by the principles of the software pattern community, that in turn takes it cues from Christopher Alexander's work on patterns of the built world.
Organizational patterns also have roots in Kroeber's classic anthropological texts on the patterns that underlie culture and society.
They in turn have provided inspiration for the Agile software development movement,
and for the creation of parts of Scrum and of Extreme Programming in particular.
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Network-based diffusion analysis
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Network-based diffusion analysis (NBDA) is a statistical tool to detect and quantify social transmission of information or a behaviour in social networks (SNA, etc.). NBDA assumes that social transmission of a behavior follows the social network of associations or interactions among individuals, since individuals who spend a lot of time together, or who interact more have more opportunity to learn from each other. Therefore, NBDA infers social transmission if the spread of a novel behavior follows the social network of a population. NBDA thus allows the study of social learning to be linked to animal behavior research that uses social network analysis. NBDA was introduced by Franz & Nunn and further developed by Hoppitt, Boogert, & Laland.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Network-based diffusion analysis
Article
Network-based diffusion analysis (NBDA) is a statistical tool to detect and quantify social transmission of information or a behaviour in social networks (SNA, etc.). NBDA assumes that social transmission of a behavior follows the social network of associations or interactions among individuals, since individuals who spend a lot of time together, or who interact more have more opportunity to learn from each other. Therefore, NBDA infers social transmission if the spread of a novel behavior follows the social network of a population. NBDA thus allows the study of social learning to be linked to animal behavior research that uses social network analysis. NBDA was introduced by Franz & Nunn and further developed by Hoppitt, Boogert, & Laland.
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Metcalfe's law
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Metcalfe's law states the effect of a telecommunications network is proportional to the square of the number of connected users
of the system (n2). First formulated in this form by George Gilder in 1993, and attributed to Robert Metcalfe in regard to Ethernet, Metcalfe's law was originally presented, c. 1980, not in terms of users, but rather of "compatible communicating devices" (for example, fax machines, telephones, etc.). Only later with the globalization of the Internet did this law carry over to users and networks as its original intent was to describe Ethernet purchases and connections. The law is also very much related to economics and business management, especially with competitive companies looking to merge with one another.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Metcalfe's law
Article
Metcalfe's law states the effect of a telecommunications network is proportional to the square of the number of connected users
of the system (n2). First formulated in this form by George Gilder in 1993, and attributed to Robert Metcalfe in regard to Ethernet, Metcalfe's law was originally presented, c. 1980, not in terms of users, but rather of "compatible communicating devices" (for example, fax machines, telephones, etc.). Only later with the globalization of the Internet did this law carry over to users and networks as its original intent was to describe Ethernet purchases and connections. The law is also very much related to economics and business management, especially with competitive companies looking to merge with one another.
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Mathematical sociology
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Mathematical sociology is the area of sociology that uses mathematics to construct social theories. Mathematical sociology aims to take sociological theory, which is strong in intuitive content but weak from a formal point of view, and to express it in formal terms. The benefits of this approach include increased clarity and the ability to use mathematics to derive implications of a theory that cannot be arrived at intuitively. In mathematical sociology, the preferred style is encapsulated in the phrase "constructing a mathematical model." This means making specified assumptions about some social phenomenon, expressing them in formal mathematics, and providing an empirical interpretation for the ideas. It also means deducing properties of the model and comparing these with relevant empirical data. Social network analysis is the best-known contribution of this subfield to sociology as a whole and to the scientific community at large. The models typically used in mathematical sociology allow sociologists to understand how predictable local interactions are and they are often able to elicit global patterns of social structure.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Mathematical sociology
Article
Mathematical sociology is the area of sociology that uses mathematics to construct social theories. Mathematical sociology aims to take sociological theory, which is strong in intuitive content but weak from a formal point of view, and to express it in formal terms. The benefits of this approach include increased clarity and the ability to use mathematics to derive implications of a theory that cannot be arrived at intuitively. In mathematical sociology, the preferred style is encapsulated in the phrase "constructing a mathematical model." This means making specified assumptions about some social phenomenon, expressing them in formal mathematics, and providing an empirical interpretation for the ideas. It also means deducing properties of the model and comparing these with relevant empirical data. Social network analysis is the best-known contribution of this subfield to sociology as a whole and to the scientific community at large. The models typically used in mathematical sociology allow sociologists to understand how predictable local interactions are and they are often able to elicit global patterns of social structure.
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Social network
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A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Social network
Article
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.
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Frank Harary
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Frank Harary (March 11, 1921 – January 4, 2005) was an American mathematician, who specialized in graph theory. He was widely recognized as one of the "fathers" of modern graph theory.
Harary was a master of clear exposition and, together with his many doctoral students, he standardized the terminology of graphs. He broadened the reach of this field to include physics, psychology, sociology, and even anthropology. Gifted with a keen sense of humor, Harary challenged and entertained audiences at all levels of mathematical sophistication. A particular trick he employed was to turn theorems into games - for instance, students would try to add red edges to a graph on six vertices in order to create a red triangle, while another group of students tried to add edges to create a blue triangle (and each edge of the graph had to be either blue or red). Because of the theorem on friends and strangers, one team or the other would have to win.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Frank Harary
Article
Frank Harary (March 11, 1921 – January 4, 2005) was an American mathematician, who specialized in graph theory. He was widely recognized as one of the "fathers" of modern graph theory.
Harary was a master of clear exposition and, together with his many doctoral students, he standardized the terminology of graphs. He broadened the reach of this field to include physics, psychology, sociology, and even anthropology. Gifted with a keen sense of humor, Harary challenged and entertained audiences at all levels of mathematical sophistication. A particular trick he employed was to turn theorems into games - for instance, students would try to add red edges to a graph on six vertices in order to create a red triangle, while another group of students tried to add edges to create a blue triangle (and each edge of the graph had to be either blue or red). Because of the theorem on friends and strangers, one team or the other would have to win.
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Centrality
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In graph theory and network analysis, indicators of centrality identify the most important vertices within a graph. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, and super-spreaders of disease. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.
They should not be confused with node influence metrics, which seek to quantify the influence of every node in the network.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Centrality
Article
In graph theory and network analysis, indicators of centrality identify the most important vertices within a graph. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, and super-spreaders of disease. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.
They should not be confused with node influence metrics, which seek to quantify the influence of every node in the network.
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Harrison White
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Harrison Colyar White (born March 21, 1930) is the emeritus Giddings Professor of Sociology at Columbia University. White played an influential role in the “Harvard Revolution” in social networks and the New York School of relational sociology. He is credited with the development of a number of mathematical models of social structure including vacancy chains and blockmodels. He has been a leader of a revolution in sociology that is still in process, using models of social structure that are based on patterns of relations instead of the attributes and attitudes of individuals.Among social network researchers, White is widely respected. For instance, at the 1997 International Network of Social Network Analysis conference, the organizer held a special “White Tie” event, dedicated to White). Social network researcher Emmanuel Lazega refers to him as both “Copernicus and Galileo” because he invented both the vision and the tools.
The most comprehensive documentation of his theories can be found in the book Identity and Control, first published in 1992. A major rewrite of the book appeared in June 2008. In 2011, White received the W.E.B. DuBois Career of Distinguished Scholarship Award from the American Sociological Association, which honors "scholars who have shown outstanding commitment to the profession of sociology and whose cumulative work has contributed in important ways to the advancement of the discipline." Before his retirement to live in Tucson, Arizona, White was interested in sociolinguistics and business strategy as well as sociology.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Harrison White
Article
Harrison Colyar White (born March 21, 1930) is the emeritus Giddings Professor of Sociology at Columbia University. White played an influential role in the “Harvard Revolution” in social networks and the New York School of relational sociology. He is credited with the development of a number of mathematical models of social structure including vacancy chains and blockmodels. He has been a leader of a revolution in sociology that is still in process, using models of social structure that are based on patterns of relations instead of the attributes and attitudes of individuals.Among social network researchers, White is widely respected. For instance, at the 1997 International Network of Social Network Analysis conference, the organizer held a special “White Tie” event, dedicated to White). Social network researcher Emmanuel Lazega refers to him as both “Copernicus and Galileo” because he invented both the vision and the tools.
The most comprehensive documentation of his theories can be found in the book Identity and Control, first published in 1992. A major rewrite of the book appeared in June 2008. In 2011, White received the W.E.B. DuBois Career of Distinguished Scholarship Award from the American Sociological Association, which honors "scholars who have shown outstanding commitment to the profession of sociology and whose cumulative work has contributed in important ways to the advancement of the discipline." Before his retirement to live in Tucson, Arizona, White was interested in sociolinguistics and business strategy as well as sociology.
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demography
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Demography (from prefix demo- from Ancient Greek δῆμος dēmos meaning "the people", and -graphy from γράφω graphō, implies "writing, description or measurement") is the statistical study of populations, especially human beings. As a very general science, it can analyze any kind of dynamic living population, i.e., one that changes over time or space (see population dynamics). Demography encompasses the study of the size, structure, and distribution of these populations, and spatial or temporal changes in them in response to birth, migration, aging, and death. Based on the demographic research of the earth, earth's population up to the year 2050 and 2100 can be estimated by demographers. Demographics are quantifiable characteristics of a given population.
Demographic analysis can cover whole societies or groups defined by criteria such as education, nationality, religion, and ethnicity. Educational institutions usually treat demography as a field of sociology, though there are a number of independent demography departments.Formal demography limits its object of study to the measurement of population processes, while the broader field of social demography or population studies also analyses the relationships between economic, social, cultural, and biological processes influencing a population.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/demography
Article
Demography (from prefix demo- from Ancient Greek δῆμος dēmos meaning "the people", and -graphy from γράφω graphō, implies "writing, description or measurement") is the statistical study of populations, especially human beings. As a very general science, it can analyze any kind of dynamic living population, i.e., one that changes over time or space (see population dynamics). Demography encompasses the study of the size, structure, and distribution of these populations, and spatial or temporal changes in them in response to birth, migration, aging, and death. Based on the demographic research of the earth, earth's population up to the year 2050 and 2100 can be estimated by demographers. Demographics are quantifiable characteristics of a given population.
Demographic analysis can cover whole societies or groups defined by criteria such as education, nationality, religion, and ethnicity. Educational institutions usually treat demography as a field of sociology, though there are a number of independent demography departments.Formal demography limits its object of study to the measurement of population processes, while the broader field of social demography or population studies also analyses the relationships between economic, social, cultural, and biological processes influencing a population.
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graph theory
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In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices, nodes, or points which are connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction between the two vertices associated with each edge, or its edges may be directed from one vertex to another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the types of graph that are commonly considered. Graphs are one of the prime objects of study in discrete mathematics.
Refer to the glossary of graph theory for basic definitions in graph theory.
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http://en.wikipedia.org/wiki/graph theory
Article
In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices, nodes, or points which are connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction between the two vertices associated with each edge, or its edges may be directed from one vertex to another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the types of graph that are commonly considered. Graphs are one of the prime objects of study in discrete mathematics.
Refer to the glossary of graph theory for basic definitions in graph theory.
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Individual mobility
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Individual human mobility is the study that describes how individual humans move within a network or system. The concept has been researched by a number of fields originating in the study of demographics. Understanding human mobility has many applications in diverse areas, including spread of diseases, mobile viruses, city planning, traffic engineering, financial market forecasting, and nowcasting of economic well-being.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Individual mobility
Article
Individual human mobility is the study that describes how individual humans move within a network or system. The concept has been researched by a number of fields originating in the study of demographics. Understanding human mobility has many applications in diverse areas, including spread of diseases, mobile viruses, city planning, traffic engineering, financial market forecasting, and nowcasting of economic well-being.
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Friendship paradox
Bottom Center
The friendship paradox is the phenomenon first observed by the sociologist Scott L. Feld in 1991 that most people have fewer friends than their friends have, on average. It can be explained as a form of sampling bias in which people with greater numbers of friends have an increased likelihood of being observed among one's own friends. In contradiction to this, most people believe that they have more friends than their friends have.The same observation can be applied more generally to social networks defined by other relations than friendship: for instance, most people's sexual partners have had (on the average) a greater number of sexual partners than they have.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Friendship paradox
Article
The friendship paradox is the phenomenon first observed by the sociologist Scott L. Feld in 1991 that most people have fewer friends than their friends have, on average. It can be explained as a form of sampling bias in which people with greater numbers of friends have an increased likelihood of being observed among one's own friends. In contradiction to this, most people believe that they have more friends than their friends have.The same observation can be applied more generally to social networks defined by other relations than friendship: for instance, most people's sexual partners have had (on the average) a greater number of sexual partners than they have.
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Digital humanities
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Digital humanities (DH) is an area of scholarly activity at the intersection of computing or digital technologies and the disciplines of the humanities. It includes the systematic use of digital resources in the humanities, as well as the reflection on their application. DH can be defined as new ways of doing scholarship that involve collaborative, transdisciplinary, and computationally engaged research, teaching, and publishing. It brings digital tools and methods to the study of the humanities with the recognition that the printed word is no longer the main medium for knowledge production and distribution.By producing and using new applications and techniques, DH makes new kinds of teaching and research possible, while at the same time studying and critiquing how these impact cultural heritage and digital culture. Thus, a distinctive feature of DH is its cultivation of a two-way relationship between the humanities and the digital: the field both employs technology in the pursuit of humanities research and subjects technology to humanistic questioning and interrogation, often simultaneously.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Digital humanities
Article
Digital humanities (DH) is an area of scholarly activity at the intersection of computing or digital technologies and the disciplines of the humanities. It includes the systematic use of digital resources in the humanities, as well as the reflection on their application. DH can be defined as new ways of doing scholarship that involve collaborative, transdisciplinary, and computationally engaged research, teaching, and publishing. It brings digital tools and methods to the study of the humanities with the recognition that the printed word is no longer the main medium for knowledge production and distribution.By producing and using new applications and techniques, DH makes new kinds of teaching and research possible, while at the same time studying and critiquing how these impact cultural heritage and digital culture. Thus, a distinctive feature of DH is its cultivation of a two-way relationship between the humanities and the digital: the field both employs technology in the pursuit of humanities research and subjects technology to humanistic questioning and interrogation, often simultaneously.
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metadata
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Metadata is "data [information] that provides information about other data". Many distinct types of metadata exist, among these descriptive metadata, structural metadata, administrative metadata, reference metadata and statistical metadata.
Descriptive metadata describes a resource for purposes such as discovery and identification. It can include elements such as title, abstract, author, and keywords.
Structural metadata is metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships and other characteristics of digital materials.
Administrative metadata provides information to help manage a resource, such as when and how it was created, file type and other technical information, and who can access it.
Reference metadata describes the contents and quality of statistical data
Statistical metadata may also describe processes that collect, process, or produce statistical data; such metadata are also called process data.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/metadata
Article
Metadata is "data [information] that provides information about other data". Many distinct types of metadata exist, among these descriptive metadata, structural metadata, administrative metadata, reference metadata and statistical metadata.
Descriptive metadata describes a resource for purposes such as discovery and identification. It can include elements such as title, abstract, author, and keywords.
Structural metadata is metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships and other characteristics of digital materials.
Administrative metadata provides information to help manage a resource, such as when and how it was created, file type and other technical information, and who can access it.
Reference metadata describes the contents and quality of statistical data
Statistical metadata may also describe processes that collect, process, or produce statistical data; such metadata are also called process data.
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information science
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Information science is a field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. Practitioners within and outside the field study application and usage of knowledge in organizations along with the interaction between people, organizations, and any existing information systems with the aim of creating, replacing, improving, or understanding information systems. Historically, information science is associated with computer science, psychology, and technology. However, information science also incorporates aspects of diverse fields such as archival science, cognitive science, commerce, law, linguistics, museology, management, mathematics, philosophy, public policy, and social sciences.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/information science
Article
Information science is a field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. Practitioners within and outside the field study application and usage of knowledge in organizations along with the interaction between people, organizations, and any existing information systems with the aim of creating, replacing, improving, or understanding information systems. Historically, information science is associated with computer science, psychology, and technology. However, information science also incorporates aspects of diverse fields such as archival science, cognitive science, commerce, law, linguistics, museology, management, mathematics, philosophy, public policy, and social sciences.
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history
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History (from Greek ἱστορία, historia, meaning "inquiry, knowledge acquired by investigation") is the study of the past as it is described in written documents. Events occurring before written record are considered prehistory. It is an umbrella term that relates to past events as well as the memory, discovery, collection, organization, presentation, and interpretation of information about these events. Scholars who write about history are called historians.
History can also refer to the academic discipline which uses a narrative to examine and analyse a sequence of past events, and objectively determine the patterns of cause and effect that determine them. Historians sometimes debate the nature of history and its usefulness by discussing the study of the discipline as an end in itself and as a way of providing "perspective" on the problems of the present.Stories common to a particular culture, but not supported by external sources (such as the tales surrounding King Arthur), are usually classified as cultural heritage or legends, because they do not show the "disinterested investigation" required of the discipline of history. Herodotus, a 5th-century BC Greek historian is considered within the Western tradition to be the "father of history", and, along with his contemporary Thucydides, helped form the foundations for the modern study of human history. Their works continue to be read today, and the gap between the culture-focused Herodotus and the military-focused Thucydides remains a point of contention or approach in modern historical writing. In East Asia, a state chronicle, the Spring and Autumn Annals was known to be compiled from as early as 722 BC although only 2nd-century BC texts have survived.
Ancient influences have helped spawn variant interpretations of the nature of history which have evolved over the centuries and continue to change today. The modern study of history is wide-ranging, and includes the study of specific regions and the study of certain topical or thematical elements of historical investigation. Often history is taught as part of primary and secondary education, and the academic study of history is a major discipline in university studies.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/history
Article
History (from Greek ἱστορία, historia, meaning "inquiry, knowledge acquired by investigation") is the study of the past as it is described in written documents. Events occurring before written record are considered prehistory. It is an umbrella term that relates to past events as well as the memory, discovery, collection, organization, presentation, and interpretation of information about these events. Scholars who write about history are called historians.
History can also refer to the academic discipline which uses a narrative to examine and analyse a sequence of past events, and objectively determine the patterns of cause and effect that determine them. Historians sometimes debate the nature of history and its usefulness by discussing the study of the discipline as an end in itself and as a way of providing "perspective" on the problems of the present.Stories common to a particular culture, but not supported by external sources (such as the tales surrounding King Arthur), are usually classified as cultural heritage or legends, because they do not show the "disinterested investigation" required of the discipline of history. Herodotus, a 5th-century BC Greek historian is considered within the Western tradition to be the "father of history", and, along with his contemporary Thucydides, helped form the foundations for the modern study of human history. Their works continue to be read today, and the gap between the culture-focused Herodotus and the military-focused Thucydides remains a point of contention or approach in modern historical writing. In East Asia, a state chronicle, the Spring and Autumn Annals was known to be compiled from as early as 722 BC although only 2nd-century BC texts have survived.
Ancient influences have helped spawn variant interpretations of the nature of history which have evolved over the centuries and continue to change today. The modern study of history is wide-ranging, and includes the study of specific regions and the study of certain topical or thematical elements of historical investigation. Often history is taught as part of primary and secondary education, and the academic study of history is a major discipline in university studies.
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communication studies
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Communication studies or communication sciences is an academic discipline that deals with processes of human communication and behavior. There are three types of communication: verbal, involving listening to a person to understand the meaning of a message; written, in which a message is read; and nonverbal communication involving observing a person and inferring meaning. The discipline encompasses a range of topics, from face-to-face conversation to mass media outlets, such as television broadcasting.
Communication studies shares with cultural studies an interest in how messages are interpreted through the political, cultural, economic, semiotic, hermeneutic, and social dimensions of their contexts. In political economics, communication studies examines how the politics of ownership affects content. Quantitative communication studies examines statistics in order to help substantiate claims.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/communication studies
Article
Communication studies or communication sciences is an academic discipline that deals with processes of human communication and behavior. There are three types of communication: verbal, involving listening to a person to understand the meaning of a message; written, in which a message is read; and nonverbal communication involving observing a person and inferring meaning. The discipline encompasses a range of topics, from face-to-face conversation to mass media outlets, such as television broadcasting.
Communication studies shares with cultural studies an interest in how messages are interpreted through the political, cultural, economic, semiotic, hermeneutic, and social dimensions of their contexts. In political economics, communication studies examines how the politics of ownership affects content. Quantitative communication studies examines statistics in order to help substantiate claims.
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Network science
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Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena."
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Network science
Article
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena."
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Complex network
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In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in graphs modelling of real systems. The study of complex networks is a young and active area of scientific research (since 2000) inspired largely by the empirical study of real-world networks such as computer networks, technological networks, brain networks and social networks.
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http://en.wikipedia.org/wiki/Complex network
Article
In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in graphs modelling of real systems. The study of complex networks is a young and active area of scientific research (since 2000) inspired largely by the empirical study of real-world networks such as computer networks, technological networks, brain networks and social networks.
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Dynamic network analysis
Bottom Center
Dynamic network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulation and multi-agent systems (MAS) within network science and network theory. There are two aspects of this field. The first is the statistical analysis of DNA data. The second is the utilization of simulation to address issues of network dynamics. DNA networks vary from traditional social networks in that they are larger, dynamic, multi-mode, multi-plex networks, and may contain varying levels of uncertainty. The main difference of DNA to SNA is that DNA takes interactions of social features conditioning structure and behavior of networks into account. DNA is tied to temporal analysis but temporal analysis is not necessarily tied to DNA, as changes in networks sometimes result from external factors which are independent of social features found in networks. One of the most notable and earliest of cases in the use of DNA is in Sampson's monastery study, where he took snapshots of the same network from different intervals and observed and analyzed the evolution of the network. An early study of the dynamics of link utilization in very large-scale complex networks provides evidence of dynamic centrality, dynamic motifs, and cycles of social interactions.DNA statistical tools are generally optimized for large-scale networks and admit the analysis of multiple networks simultaneously in which, there are multiple types of nodes (multi-node) and multiple types of links (multi-plex). Multi-node multi-plex networks are generally referred to as
meta-networks or high-dimensional networks. In contrast, SNA statistical tools focus on single or at most two mode data and facilitate the analysis of only one type of link at a time.
DNA statistical tools tend to provide more measures to the user, because they have measures that use data drawn from multiple networks simultaneously. Latent space models (Sarkar and Moore, 2005) and agent-based simulation are often used to examine dynamic social networks (Carley et al., 2009). From a computer simulation perspective, nodes in DNA are like atoms in quantum theory, nodes can be, though need not be, treated as probabilistic. Whereas nodes in a traditional SNA model are static, nodes in a DNA model have the ability to learn. Properties change over time; nodes can adapt: A company's employees can learn new skills and increase their value to the network; or, capture one terrorist and three more are forced to improvise. Change propagates from one node to the next and so on. DNA adds the element of a network's evolution and considers the circumstances under which change is likely to occur.
There are three main features to dynamic network analysis that distinguish it from standard social network analysis. First, rather than just using social networks, DNA looks at meta-networks. Second, agent-based modeling and other forms of simulations are often used to explore how networks evolve and adapt as well as the impact of interventions on those networks. Third, the links in the network are not binary; in fact, in many cases they represent the probability that there is a link.
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http://en.wikipedia.org/wiki/Dynamic network analysis
Article
Dynamic network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulation and multi-agent systems (MAS) within network science and network theory. There are two aspects of this field. The first is the statistical analysis of DNA data. The second is the utilization of simulation to address issues of network dynamics. DNA networks vary from traditional social networks in that they are larger, dynamic, multi-mode, multi-plex networks, and may contain varying levels of uncertainty. The main difference of DNA to SNA is that DNA takes interactions of social features conditioning structure and behavior of networks into account. DNA is tied to temporal analysis but temporal analysis is not necessarily tied to DNA, as changes in networks sometimes result from external factors which are independent of social features found in networks. One of the most notable and earliest of cases in the use of DNA is in Sampson's monastery study, where he took snapshots of the same network from different intervals and observed and analyzed the evolution of the network. An early study of the dynamics of link utilization in very large-scale complex networks provides evidence of dynamic centrality, dynamic motifs, and cycles of social interactions.DNA statistical tools are generally optimized for large-scale networks and admit the analysis of multiple networks simultaneously in which, there are multiple types of nodes (multi-node) and multiple types of links (multi-plex). Multi-node multi-plex networks are generally referred to as
meta-networks or high-dimensional networks. In contrast, SNA statistical tools focus on single or at most two mode data and facilitate the analysis of only one type of link at a time.
DNA statistical tools tend to provide more measures to the user, because they have measures that use data drawn from multiple networks simultaneously. Latent space models (Sarkar and Moore, 2005) and agent-based simulation are often used to examine dynamic social networks (Carley et al., 2009). From a computer simulation perspective, nodes in DNA are like atoms in quantum theory, nodes can be, though need not be, treated as probabilistic. Whereas nodes in a traditional SNA model are static, nodes in a DNA model have the ability to learn. Properties change over time; nodes can adapt: A company's employees can learn new skills and increase their value to the network; or, capture one terrorist and three more are forced to improvise. Change propagates from one node to the next and so on. DNA adds the element of a network's evolution and considers the circumstances under which change is likely to occur.
There are three main features to dynamic network analysis that distinguish it from standard social network analysis. First, rather than just using social networks, DNA looks at meta-networks. Second, agent-based modeling and other forms of simulations are often used to explore how networks evolve and adapt as well as the impact of interventions on those networks. Third, the links in the network are not binary; in fact, in many cases they represent the probability that there is a link.
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Stanley Milgram
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Stanley Milgram (August 15, 1933 – December 20, 1984) was an American social psychologist, best known for his controversial experiment on obedience conducted in the 1960s during his professorship at Yale. Milgram was influenced by the events of the Holocaust, especially the trial of Adolf Eichmann, in developing the experiment.
After earning a PhD in social psychology from Harvard University, he taught at Yale, Harvard, and then for most of his career as a professor at the City University of New York Graduate Center, until his death in 1984. His small-world experiment while at Harvard led researchers to analyze the degree of connectedness, including the six degrees of separation concept. Later in his career, Milgram developed a technique for creating interactive hybrid social agents (called cyranoids), which has since been used to explore aspects of social- and self-perception.
He is widely regarded as one of the most important figures in the history of social psychology. A Review of General Psychology survey, published in 2002, ranked Milgram as the 46th-most-cited psychologist in the 20th century.
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http://en.wikipedia.org/wiki/Stanley Milgram
Article
Stanley Milgram (August 15, 1933 – December 20, 1984) was an American social psychologist, best known for his controversial experiment on obedience conducted in the 1960s during his professorship at Yale. Milgram was influenced by the events of the Holocaust, especially the trial of Adolf Eichmann, in developing the experiment.
After earning a PhD in social psychology from Harvard University, he taught at Yale, Harvard, and then for most of his career as a professor at the City University of New York Graduate Center, until his death in 1984. His small-world experiment while at Harvard led researchers to analyze the degree of connectedness, including the six degrees of separation concept. Later in his career, Milgram developed a technique for creating interactive hybrid social agents (called cyranoids), which has since been used to explore aspects of social- and self-perception.
He is widely regarded as one of the most important figures in the history of social psychology. A Review of General Psychology survey, published in 2002, ranked Milgram as the 46th-most-cited psychologist in the 20th century.
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assortativity
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Assortativity, or assortative mixing is a preference for a network's nodes to attach to others that are similar in some way. Though the specific measure of similarity may vary, network theorists often examine assortativity in terms of a node's degree. The addition of this characteristic to network models more closely approximates the behaviors of many real world networks.
Correlations between nodes of similar degree are often found in the mixing patterns of many observable networks. For instance, in social networks, nodes tend to be connected with other nodes with similar degree values. This tendency is referred to as assortative mixing, or assortativity. On the other hand, technological and biological networks typically show disassortative mixing, or disassortativity, as high degree nodes tend to attach to low degree nodes.
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http://en.wikipedia.org/wiki/assortativity
Article
Assortativity, or assortative mixing is a preference for a network's nodes to attach to others that are similar in some way. Though the specific measure of similarity may vary, network theorists often examine assortativity in terms of a node's degree. The addition of this characteristic to network models more closely approximates the behaviors of many real world networks.
Correlations between nodes of similar degree are often found in the mixing patterns of many observable networks. For instance, in social networks, nodes tend to be connected with other nodes with similar degree values. This tendency is referred to as assortative mixing, or assortativity. On the other hand, technological and biological networks typically show disassortative mixing, or disassortativity, as high degree nodes tend to attach to low degree nodes.
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computer science
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Computer science is the study of processes that interact with data and that can be represented as data in the form of programs. It enables the use of algorithms to manipulate, store, and communicate digital information. A computer scientist studies the theory of computation and the practice of designing software systems.Its fields can be divided into theoretical and practical disciplines. Computational complexity theory is highly abstract, while computer graphics emphasizes real-world applications. Programming language theory considers approaches to the description of computational processes, while computer programming itself involves the use of programming languages and complex systems. Human–computer interaction considers the challenges in making computers useful, usable, and accessible.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/computer science
Article
Computer science is the study of processes that interact with data and that can be represented as data in the form of programs. It enables the use of algorithms to manipulate, store, and communicate digital information. A computer scientist studies the theory of computation and the practice of designing software systems.Its fields can be divided into theoretical and practical disciplines. Computational complexity theory is highly abstract, while computer graphics emphasizes real-world applications. Programming language theory considers approaches to the description of computational processes, while computer programming itself involves the use of programming languages and complex systems. Human–computer interaction considers the challenges in making computers useful, usable, and accessible.
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biology
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Biology is the natural science that studies life and living organisms, including their physical structure, chemical processes, molecular interactions, physiological mechanisms, development and evolution. Despite the complexity of the science, there are certain unifying concepts that consolidate it into a single, coherent field. Biology recognizes the cell as the basic unit of life, genes as the basic unit of heredity, and evolution as the engine that propels the creation and extinction of species. Living organisms are open systems that survive by transforming energy and decreasing their local entropy to maintain a stable and vital condition defined as homeostasis.Sub-disciplines of biology are defined by the research methods employed and the kind of system studied: theoretical biology uses mathematical methods to formulate quantitative models while experimental biology performs empirical experiments to test the validity of proposed theories and understand the mechanisms underlying life and how it appeared and evolved from non-living matter about 4 billion years ago through a gradual increase in the complexity of the system. See branches of biology.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/biology
Article
Biology is the natural science that studies life and living organisms, including their physical structure, chemical processes, molecular interactions, physiological mechanisms, development and evolution. Despite the complexity of the science, there are certain unifying concepts that consolidate it into a single, coherent field. Biology recognizes the cell as the basic unit of life, genes as the basic unit of heredity, and evolution as the engine that propels the creation and extinction of species. Living organisms are open systems that survive by transforming energy and decreasing their local entropy to maintain a stable and vital condition defined as homeostasis.Sub-disciplines of biology are defined by the research methods employed and the kind of system studied: theoretical biology uses mathematical methods to formulate quantitative models while experimental biology performs empirical experiments to test the validity of proposed theories and understand the mechanisms underlying life and how it appeared and evolved from non-living matter about 4 billion years ago through a gradual increase in the complexity of the system. See branches of biology.
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betweenness centrality
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In graph theory, betweenness centrality is a measure of centrality in a graph based on shortest paths. For every pair of vertices in a connected graph, there exists at least one shortest path between the vertices such that either the number of edges that the path passes through (for unweighted graphs) or the sum of the weights of the edges (for weighted graphs) is minimized. The betweenness centrality for each vertex is the number of these shortest paths that pass through the vertex.
Betweenness centrality finds wide application in network theory: it represents the degree to which nodes stand between each other. For example, in a telecommunications network, a node with higher betweenness centrality would have more control over the network, because more information will pass through that node. Betweenness centrality was devised as a general measure of centrality: it applies to a wide range of problems in network theory, including problems related to social networks, biology, transport and scientific cooperation.
Although earlier authors have intuitively described centrality as based on betweenness, Freeman (1977) gave the first formal definition of betweenness centrality.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/betweenness centrality
Article
In graph theory, betweenness centrality is a measure of centrality in a graph based on shortest paths. For every pair of vertices in a connected graph, there exists at least one shortest path between the vertices such that either the number of edges that the path passes through (for unweighted graphs) or the sum of the weights of the edges (for weighted graphs) is minimized. The betweenness centrality for each vertex is the number of these shortest paths that pass through the vertex.
Betweenness centrality finds wide application in network theory: it represents the degree to which nodes stand between each other. For example, in a telecommunications network, a node with higher betweenness centrality would have more control over the network, because more information will pass through that node. Betweenness centrality was devised as a general measure of centrality: it applies to a wide range of problems in network theory, including problems related to social networks, biology, transport and scientific cooperation.
Although earlier authors have intuitively described centrality as based on betweenness, Freeman (1977) gave the first formal definition of betweenness centrality.
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Actor-network theory
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Actor–network theory (ANT) is a theoretical and methodological approach to social theory where everything in the social and natural worlds exists in constantly shifting networks of relationship. It posits that nothing exists outside those relationships. All the factors involved in a social situation are on the same level, and thus there are no external social forces beyond what and how the network participants interact at present. Thus, objects, ideas, processes, and any other relevant factors are seen as just as important in creating social situations as humans. ANT holds that social forces do not exist in themselves, and therefore cannot be used to explain social phenomena. Instead, strictly empirical analysis should be undertaken to "describe" rather than "explain" social activity. Only after this can one introduce the concept of social forces, and only as an abstract theoretical concept, not something which genuinely exists in the world. Although it is best known for its controversial insistence on the capacity of nonhumans to act or participate in systems or networks or both, ANT is also associated with forceful critiques of conventional and critical sociology. Developed by science and technology studies (STS) scholars Michel Callon and Bruno Latour, the sociologist John Law, and others, it can more technically be described as a "material-semiotic" method. This means that it maps relations that are simultaneously material (between things) and semiotic (between concepts). It assumes that many relations are both material and semiotic.
Broadly speaking, ANT is a constructivist approach in that it avoids essentialist explanations of events or innovations (i.e. ANT explains a successful theory by understanding the combinations and interactions of elements that make it successful, rather than saying it is true and the others are false). Likewise, it is not a cohesive theory in itself. Rather, ANT functions as a strategy that assists people in being sensitive to terms and the often unexplored assumptions underlying them. It is distinguished from many other STS and sociological network theories for its distinct material-semiotic approach.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Actor-network theory
Article
Actor–network theory (ANT) is a theoretical and methodological approach to social theory where everything in the social and natural worlds exists in constantly shifting networks of relationship. It posits that nothing exists outside those relationships. All the factors involved in a social situation are on the same level, and thus there are no external social forces beyond what and how the network participants interact at present. Thus, objects, ideas, processes, and any other relevant factors are seen as just as important in creating social situations as humans. ANT holds that social forces do not exist in themselves, and therefore cannot be used to explain social phenomena. Instead, strictly empirical analysis should be undertaken to "describe" rather than "explain" social activity. Only after this can one introduce the concept of social forces, and only as an abstract theoretical concept, not something which genuinely exists in the world. Although it is best known for its controversial insistence on the capacity of nonhumans to act or participate in systems or networks or both, ANT is also associated with forceful critiques of conventional and critical sociology. Developed by science and technology studies (STS) scholars Michel Callon and Bruno Latour, the sociologist John Law, and others, it can more technically be described as a "material-semiotic" method. This means that it maps relations that are simultaneously material (between things) and semiotic (between concepts). It assumes that many relations are both material and semiotic.
Broadly speaking, ANT is a constructivist approach in that it avoids essentialist explanations of events or innovations (i.e. ANT explains a successful theory by understanding the combinations and interactions of elements that make it successful, rather than saying it is true and the others are false). Likewise, it is not a cohesive theory in itself. Rather, ANT functions as a strategy that assists people in being sensitive to terms and the often unexplored assumptions underlying them. It is distinguished from many other STS and sociological network theories for its distinct material-semiotic approach.
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Software
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Computer software, or simply software, is a collection of data or computer instructions that tell the computer how to work. This is in contrast to physical hardware, from which the system is built and actually performs the work. In computer science and software engineering, computer software is all information processed by computer systems, programs and data. Computer software includes computer programs, libraries and related non-executable data, such as online documentation or digital media. Computer hardware and software require each other and neither can be realistically used on its own.
At the lowest programming level, executable code consists of machine language instructions supported by an individual processor—typically a central processing unit (CPU) or a graphics processing unit (GPU). A machine language consists of groups of binary values signifying processor instructions that change the state of the computer from its preceding state. For example, an instruction may change the value stored in a particular storage location in the computer—an effect that is not directly observable to the user. An instruction may also invoke one of many input or output operations, for example displaying some text on a computer screen; causing state changes which should be visible to the user. The processor executes the instructions in the order they are provided, unless it is instructed to "jump" to a different instruction, or is interrupted by the operating system. As of 2015, most personal computers, smartphone devices and servers have processors with multiple execution units or multiple processors performing computation together, and computing has become a much more concurrent activity than in the past.
The majority of software is written in high-level programming languages. They are easier and more efficient for programmers because they are closer to natural languages than machine languages. High-level languages are translated into machine language using a compiler or an interpreter or a combination of the two. Software may also be written in a low-level assembly language, which has strong correspondence to the computer's machine language instructions and is translated into machine language using an assembler.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Software
Article
Computer software, or simply software, is a collection of data or computer instructions that tell the computer how to work. This is in contrast to physical hardware, from which the system is built and actually performs the work. In computer science and software engineering, computer software is all information processed by computer systems, programs and data. Computer software includes computer programs, libraries and related non-executable data, such as online documentation or digital media. Computer hardware and software require each other and neither can be realistically used on its own.
At the lowest programming level, executable code consists of machine language instructions supported by an individual processor—typically a central processing unit (CPU) or a graphics processing unit (GPU). A machine language consists of groups of binary values signifying processor instructions that change the state of the computer from its preceding state. For example, an instruction may change the value stored in a particular storage location in the computer—an effect that is not directly observable to the user. An instruction may also invoke one of many input or output operations, for example displaying some text on a computer screen; causing state changes which should be visible to the user. The processor executes the instructions in the order they are provided, unless it is instructed to "jump" to a different instruction, or is interrupted by the operating system. As of 2015, most personal computers, smartphone devices and servers have processors with multiple execution units or multiple processors performing computation together, and computing has become a much more concurrent activity than in the past.
The majority of software is written in high-level programming languages. They are easier and more efficient for programmers because they are closer to natural languages than machine languages. High-level languages are translated into machine language using a compiler or an interpreter or a combination of the two. Software may also be written in a low-level assembly language, which has strong correspondence to the computer's machine language instructions and is translated into machine language using an assembler.
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algorithm
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In mathematics and computer science, an algorithm ( (listen)) is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculation, data processing, and automated reasoning tasks.
As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed for centuries. Greek mathematicians used algorithms in the sieve of Eratosthenes for finding prime numbers, and the Euclidean algorithm for finding the greatest common divisor of two numbers.The word algorithm itself is derived from the 9th century mathematician Muḥammad ibn Mūsā al-Khwārizmī, Latinized Algoritmi. A partial formalization of what would become the modern concept of algorithm began with attempts to solve the Entscheidungsproblem (decision problem) posed by David Hilbert in 1928. Later formalizations were framed as attempts to define "effective calculability" or "effective method". Those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's Formulation 1 of 1936, and Alan Turing's Turing machines of 1936–37 and 1939.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/algorithm
Article
In mathematics and computer science, an algorithm ( (listen)) is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculation, data processing, and automated reasoning tasks.
As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed for centuries. Greek mathematicians used algorithms in the sieve of Eratosthenes for finding prime numbers, and the Euclidean algorithm for finding the greatest common divisor of two numbers.The word algorithm itself is derived from the 9th century mathematician Muḥammad ibn Mūsā al-Khwārizmī, Latinized Algoritmi. A partial formalization of what would become the modern concept of algorithm began with attempts to solve the Entscheidungsproblem (decision problem) posed by David Hilbert in 1928. Later formalizations were framed as attempts to define "effective calculability" or "effective method". Those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's Formulation 1 of 1936, and Alan Turing's Turing machines of 1936–37 and 1939.
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asynchronous learning
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Asynchronous learning is a student-centered teaching method that uses online learning resources to facilitate information sharing outside the constraints of time and place among a network of people. Asynchronous learning is based on constructivist theory, a student-centered approach that emphasizes the importance of peer-to-peer interactions. This approach combines self-study with asynchronous interactions to promote learning, and it can be used to facilitate learning in traditional on-campus education, distance education, and continuing education. This combined network of learners and the electronic network in which they communicate are referred to as an asynchronous learning network.The online learning resources used to support asynchronous learning include email, electronic mailing lists, threaded conferencing systems, online discussion boards, wikis, and blogs. Course management systems such as CampusCruiser LMS, Desire2Learn, Blackboard, WebCT, Moodle, and Sakai, have been developed to support online interaction, allowing users to organize discussions, post and reply to messages, and upload and access multimedia. These asynchronous forms of communication are sometimes supplemented with synchronous components, including text and voice chat, telephone conversations, videoconferencing, and even meetings in virtual spaces such as Second Life, where discussions can be facilitated among groups of students.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/asynchronous learning
Article
Asynchronous learning is a student-centered teaching method that uses online learning resources to facilitate information sharing outside the constraints of time and place among a network of people. Asynchronous learning is based on constructivist theory, a student-centered approach that emphasizes the importance of peer-to-peer interactions. This approach combines self-study with asynchronous interactions to promote learning, and it can be used to facilitate learning in traditional on-campus education, distance education, and continuing education. This combined network of learners and the electronic network in which they communicate are referred to as an asynchronous learning network.The online learning resources used to support asynchronous learning include email, electronic mailing lists, threaded conferencing systems, online discussion boards, wikis, and blogs. Course management systems such as CampusCruiser LMS, Desire2Learn, Blackboard, WebCT, Moodle, and Sakai, have been developed to support online interaction, allowing users to organize discussions, post and reply to messages, and upload and access multimedia. These asynchronous forms of communication are sometimes supplemented with synchronous components, including text and voice chat, telephone conversations, videoconferencing, and even meetings in virtual spaces such as Second Life, where discussions can be facilitated among groups of students.
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computer-supported collaborative learning
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Computer-supported collaborative learning (CSCL) is a pedagogical approach where in learning takes place via social interaction using a computer or through the Internet. This kind of learning is characterized by the sharing and construction of knowledge among participants using technology as their primary means of communication or as a common resource. CSCL can be implemented in online and classroom learning environments and can take place synchronously or asynchronously.
The study of computer-supported collaborative learning draws on a number of academic disciplines, including instructional technology, educational psychology, sociology, cognitive psychology, and social psychology. It is related to collaborative learning and computer supported cooperative work (CSCW).
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/computer-supported collaborative learning
Article
Computer-supported collaborative learning (CSCL) is a pedagogical approach where in learning takes place via social interaction using a computer or through the Internet. This kind of learning is characterized by the sharing and construction of knowledge among participants using technology as their primary means of communication or as a common resource. CSCL can be implemented in online and classroom learning environments and can take place synchronously or asynchronously.
The study of computer-supported collaborative learning draws on a number of academic disciplines, including instructional technology, educational psychology, sociology, cognitive psychology, and social psychology. It is related to collaborative learning and computer supported cooperative work (CSCW).
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social psychology
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Social psychology is the scientific study of how people's thoughts, feelings and behaviors are influenced by the actual, imagined or implied presence of others. In this definition, scientific refers to the empirical investigation using the scientific method. The terms thoughts, feelings and behavior refer to psychological variables that can be measured in humans. The statement that others' presence may be imagined or implied suggests that humans are malleable to social influences even when alone, such as when watching television or following internalized cultural norms. Social psychologists typically explain human behavior as a result of the interaction of mental states and social situations.
Social psychologists examine factors that cause behaviors to unfold in a given way in the presence of others. They study conditions under which certain behavior, actions, and feelings occur. Social psychology is concerned with the way these feelings, thoughts, beliefs, intentions, and goals are cognitively constructed and how these mental representations, in turn, influence our interactions with others.
Social psychology traditionally bridged the gap between psychology and sociology. During the years immediately following World War II there was frequent collaboration between psychologists and sociologists. The two disciplines, however, have become increasingly specialized and isolated from each other in recent years, with sociologists focusing on "macro variables" (e.g., social structure) to a much greater extent than psychologists. Nevertheless, sociological approaches to psychology remain an important counterpart to psychological research in this area.
In addition to the split between psychology and sociology, there has been a somewhat less pronounced difference in emphasis between American social psychologists and European social psychologists. As a generalization, American researchers traditionally have focused more on the individual, whereas Europeans have paid more attention to group level phenomena (see group dynamics).
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social psychology
Article
Social psychology is the scientific study of how people's thoughts, feelings and behaviors are influenced by the actual, imagined or implied presence of others. In this definition, scientific refers to the empirical investigation using the scientific method. The terms thoughts, feelings and behavior refer to psychological variables that can be measured in humans. The statement that others' presence may be imagined or implied suggests that humans are malleable to social influences even when alone, such as when watching television or following internalized cultural norms. Social psychologists typically explain human behavior as a result of the interaction of mental states and social situations.
Social psychologists examine factors that cause behaviors to unfold in a given way in the presence of others. They study conditions under which certain behavior, actions, and feelings occur. Social psychology is concerned with the way these feelings, thoughts, beliefs, intentions, and goals are cognitively constructed and how these mental representations, in turn, influence our interactions with others.
Social psychology traditionally bridged the gap between psychology and sociology. During the years immediately following World War II there was frequent collaboration between psychologists and sociologists. The two disciplines, however, have become increasingly specialized and isolated from each other in recent years, with sociologists focusing on "macro variables" (e.g., social structure) to a much greater extent than psychologists. Nevertheless, sociological approaches to psychology remain an important counterpart to psychological research in this area.
In addition to the split between psychology and sociology, there has been a somewhat less pronounced difference in emphasis between American social psychologists and European social psychologists. As a generalization, American researchers traditionally have focused more on the individual, whereas Europeans have paid more attention to group level phenomena (see group dynamics).
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website
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A website or Web site is a collection of related network web resources, such as web pages, multimedia content, which are typically identified with a common domain name, and published on at least one web server. Notable examples are wikipedia.org, google.com, and amazon.com.
Websites can be accessed via a public Internet Protocol (IP) network, such as the Internet, or a private local area network (LAN), by a uniform resource locator (URL) that identifies the site.
Websites can have many functions and can be used in various fashions; a website can be a personal website, a corporate website for a company, a government website, an organization website, etc. Websites are typically dedicated to a particular topic or purpose, ranging from entertainment and social networking to providing news and education. All publicly accessible websites collectively constitute the World Wide Web, while private websites, such as a company's website for its employees, are typically part of an intranet.
Web pages, which are the building blocks of websites, are documents, typically composed in plain text interspersed with formatting instructions of Hypertext Markup Language (HTML, XHTML). They may incorporate elements from other websites with suitable markup anchors. Web pages are accessed and transported with the Hypertext Transfer Protocol (HTTP), which may optionally employ encryption (HTTP Secure, HTTPS) to provide security and privacy for the user. The user's application, often a web browser, renders the page content according to its HTML markup instructions onto a display terminal.
Hyperlinking between web pages conveys to the reader the site structure and guides the navigation of the site, which often starts with a home page containing a directory of the site web content. Some websites require user registration or subscription to access content. Examples of subscription websites include many business sites, news websites, academic journal websites, gaming websites, file-sharing websites, message boards, web-based email, social networking websites, websites providing real-time stock market data, as well as sites providing various other services. End users can access websites on a range of devices, including desktop and laptop computers, tablet computers, smartphones and smart TVs.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/website
Article
A website or Web site is a collection of related network web resources, such as web pages, multimedia content, which are typically identified with a common domain name, and published on at least one web server. Notable examples are wikipedia.org, google.com, and amazon.com.
Websites can be accessed via a public Internet Protocol (IP) network, such as the Internet, or a private local area network (LAN), by a uniform resource locator (URL) that identifies the site.
Websites can have many functions and can be used in various fashions; a website can be a personal website, a corporate website for a company, a government website, an organization website, etc. Websites are typically dedicated to a particular topic or purpose, ranging from entertainment and social networking to providing news and education. All publicly accessible websites collectively constitute the World Wide Web, while private websites, such as a company's website for its employees, are typically part of an intranet.
Web pages, which are the building blocks of websites, are documents, typically composed in plain text interspersed with formatting instructions of Hypertext Markup Language (HTML, XHTML). They may incorporate elements from other websites with suitable markup anchors. Web pages are accessed and transported with the Hypertext Transfer Protocol (HTTP), which may optionally employ encryption (HTTP Secure, HTTPS) to provide security and privacy for the user. The user's application, often a web browser, renders the page content according to its HTML markup instructions onto a display terminal.
Hyperlinking between web pages conveys to the reader the site structure and guides the navigation of the site, which often starts with a home page containing a directory of the site web content. Some websites require user registration or subscription to access content. Examples of subscription websites include many business sites, news websites, academic journal websites, gaming websites, file-sharing websites, message boards, web-based email, social networking websites, websites providing real-time stock market data, as well as sites providing various other services. End users can access websites on a range of devices, including desktop and laptop computers, tablet computers, smartphones and smart TVs.
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Hyperlink
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In computing, a hyperlink, or simply a link, is a reference to data that the reader can directly follow either by clicking or tapping. A hyperlink points to a whole document or to a specific element within a document. Hypertext is text with hyperlinks. The text that is linked from is called anchor text. A software system that is used for viewing and creating hypertext is a hypertext system, and to create a hyperlink is to hyperlink (or simply to link). A user following hyperlinks is said to navigate or browse the hypertext.
The document containing a hyperlink is known as its source document. For example, in an online reference work such as Wikipedia, or Google, many words and terms in the text are hyperlinked to definitions of those terms. Hyperlinks are often used to implement reference mechanisms such as tables of contents, footnotes, bibliographies, indexes, letters and glossaries.
In some hypertext hyperlinks can be bidirectional: they can be followed in two directions, so both ends act as anchors and as targets. More complex arrangements exist, such as many-to-many links.
The effect of following a hyperlink may vary with the hypertext system and may sometimes depend on the link itself; for instance, on the World Wide Web most hyperlinks cause the target document to replace the document being displayed, but some are marked to cause the target document to open in a new window. Another possibility is transclusion, for which the link target is a document fragment that replaces the link anchor within the source document. Not only persons browsing the document follow hyperlinks. These hyperlinks may also be followed automatically by programs. A program that traverses the hypertext, following each hyperlink and gathering all the retrieved documents is known as a Web spider or crawler.
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http://en.wikipedia.org/wiki/Hyperlink
Article
In computing, a hyperlink, or simply a link, is a reference to data that the reader can directly follow either by clicking or tapping. A hyperlink points to a whole document or to a specific element within a document. Hypertext is text with hyperlinks. The text that is linked from is called anchor text. A software system that is used for viewing and creating hypertext is a hypertext system, and to create a hyperlink is to hyperlink (or simply to link). A user following hyperlinks is said to navigate or browse the hypertext.
The document containing a hyperlink is known as its source document. For example, in an online reference work such as Wikipedia, or Google, many words and terms in the text are hyperlinked to definitions of those terms. Hyperlinks are often used to implement reference mechanisms such as tables of contents, footnotes, bibliographies, indexes, letters and glossaries.
In some hypertext hyperlinks can be bidirectional: they can be followed in two directions, so both ends act as anchors and as targets. More complex arrangements exist, such as many-to-many links.
The effect of following a hyperlink may vary with the hypertext system and may sometimes depend on the link itself; for instance, on the World Wide Web most hyperlinks cause the target document to replace the document being displayed, but some are marked to cause the target document to open in a new window. Another possibility is transclusion, for which the link target is a document fragment that replaces the link anchor within the source document. Not only persons browsing the document follow hyperlinks. These hyperlinks may also be followed automatically by programs. A program that traverses the hypertext, following each hyperlink and gathering all the retrieved documents is known as a Web spider or crawler.
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call detail record
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A call detail record (CDR) is a data record produced by a telephone exchange or other telecommunications equipment that documents the details of a telephone call or other telecommunications transaction (e.g., text message) that passes through that facility or device. The record contains various attributes of the call, such as time, duration, completion status, source number, and destination number. It is the automated equivalent of the paper toll tickets that were written and timed by operators for long-distance calls in a manual telephone exchange.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/call detail record
Article
A call detail record (CDR) is a data record produced by a telephone exchange or other telecommunications equipment that documents the details of a telephone call or other telecommunications transaction (e.g., text message) that passes through that facility or device. The record contains various attributes of the call, such as time, duration, completion status, source number, and destination number. It is the automated equivalent of the paper toll tickets that were written and timed by operators for long-distance calls in a manual telephone exchange.
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law enforcement
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Law enforcement is any system by which some members of society act in an organized manner to enforce the law by discovering, deterring, rehabilitating, or punishing people who violate the rules and norms governing that society. Although the term may encompass entities such as courts and prisons, it is most frequently applied to those who directly engage in patrols or surveillance to dissuade and discover criminal activity, and those who investigate crimes and apprehend offenders, a task typically carried out by the police or another law enforcement organisation. Furthermore, although law enforcement may be most concerned with the prevention and punishment of crimes, organizations exist to discourage a wide variety of non-criminal violations of rules and norms, effected through the imposition of less severe consequences.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/law enforcement
Article
Law enforcement is any system by which some members of society act in an organized manner to enforce the law by discovering, deterring, rehabilitating, or punishing people who violate the rules and norms governing that society. Although the term may encompass entities such as courts and prisons, it is most frequently applied to those who directly engage in patrols or surveillance to dissuade and discover criminal activity, and those who investigate crimes and apprehend offenders, a task typically carried out by the police or another law enforcement organisation. Furthermore, although law enforcement may be most concerned with the prevention and punishment of crimes, organizations exist to discourage a wide variety of non-criminal violations of rules and norms, effected through the imposition of less severe consequences.
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high-value targets
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In United States military terminology, a high-value target (HVT) is a person or resource that an enemy commander requires to complete a mission. The term has been widely used in the news media for Osama Bin Laden and high-ranking officers of Al-Qaeda who are considered essential for completing their operations. Former Iraqi President Saddam Hussein was known as High Value Target Number One by the United States military before his capture.
Not to be confused with a High-Payoff Target which is a target whose loss to the enemy will significantly contribute to the success of the friendly course of action. High-Payoff targets are those High-Value targets that must be acquired and successfully attacked for the success of the friendly commander's mission also known as an HPTSoldiers are often asked to do all that is possible to capture an HVT alive but, if that is impossible, they are given clearance to fire. Various tasked Joint Special Operations Task Forces (Task Force 145, Task Force 121, Task Force 11) have been established for the main purposes of capturing or killing these high-value targets. Forces assigned to these tasked forces include units mainly from the Joint Special Operations Command and SOCOM such as the US Navy SEALs, US Army Delta Force, US Navy SEAL Team Six, US Army 75th Ranger Regiment and elements of the British Army's Special Air Service (SAS). The term has also become associated with secret US DoD programs to capture and interrogate terrorist leaders.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/high-value targets
Article
In United States military terminology, a high-value target (HVT) is a person or resource that an enemy commander requires to complete a mission. The term has been widely used in the news media for Osama Bin Laden and high-ranking officers of Al-Qaeda who are considered essential for completing their operations. Former Iraqi President Saddam Hussein was known as High Value Target Number One by the United States military before his capture.
Not to be confused with a High-Payoff Target which is a target whose loss to the enemy will significantly contribute to the success of the friendly course of action. High-Payoff targets are those High-Value targets that must be acquired and successfully attacked for the success of the friendly commander's mission also known as an HPTSoldiers are often asked to do all that is possible to capture an HVT alive but, if that is impossible, they are given clearance to fire. Various tasked Joint Special Operations Task Forces (Task Force 145, Task Force 121, Task Force 11) have been established for the main purposes of capturing or killing these high-value targets. Forces assigned to these tasked forces include units mainly from the Joint Special Operations Command and SOCOM such as the US Navy SEALs, US Army Delta Force, US Navy SEAL Team Six, US Army 75th Ranger Regiment and elements of the British Army's Special Air Service (SAS). The term has also become associated with secret US DoD programs to capture and interrogate terrorist leaders.
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decapitation attack
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A decapitation strike is a military strategy aimed at removing the leadership or command and control of a hostile government or group. The strategy of shattering or defeating an enemy by eliminating its military and political leadership has long been utilized in warfare.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/decapitation attack
Article
A decapitation strike is a military strategy aimed at removing the leadership or command and control of a hostile government or group. The strategy of shattering or defeating an enemy by eliminating its military and political leadership has long been utilized in warfare.
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espionage
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Espionage or spying, is the act of obtaining secret or confidential information without the permission of the holder of the information. Spies help agencies uncover secret information. Any individual or spy ring (a cooperating group of spies), in the service of a government, company or independent operation, can commit espionage. The practice is clandestine, as it is by definition unwelcome and in many cases illegal and punishable by law. Espionage is a method of "intelligence" gathering which includes information gathering from public sources.
Espionage is often part of an institutional effort by a government or commercial concern. However, the term tends to be associated with state spying on potential or actual enemies for military purposes. Spying involving corporations is known as industrial espionage.
One of the most effective ways to gather data and information about the enemy (or potential enemy) is by infiltrating the enemy's ranks. This is the job of the spy (espionage agent). Spies can return information concerning the size and strength of enemy forces. They can also find dissidents within the enemy's forces and influence them to defect. In times of crisis, spies steal technology and sabotage the enemy in various ways. Counterintelligence is the practice of thwarting enemy espionage and intelligence-gathering. Almost all nations have strict laws concerning espionage and the penalty for being caught is often severe. However, the benefits gained through espionage are often so great that most governments and many large corporations make use of it.
Information collection techniques used in the conduct of clandestine human intelligence include operational techniques, asset recruiting, and tradecraft.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/espionage
Article
Espionage or spying, is the act of obtaining secret or confidential information without the permission of the holder of the information. Spies help agencies uncover secret information. Any individual or spy ring (a cooperating group of spies), in the service of a government, company or independent operation, can commit espionage. The practice is clandestine, as it is by definition unwelcome and in many cases illegal and punishable by law. Espionage is a method of "intelligence" gathering which includes information gathering from public sources.
Espionage is often part of an institutional effort by a government or commercial concern. However, the term tends to be associated with state spying on potential or actual enemies for military purposes. Spying involving corporations is known as industrial espionage.
One of the most effective ways to gather data and information about the enemy (or potential enemy) is by infiltrating the enemy's ranks. This is the job of the spy (espionage agent). Spies can return information concerning the size and strength of enemy forces. They can also find dissidents within the enemy's forces and influence them to defect. In times of crisis, spies steal technology and sabotage the enemy in various ways. Counterintelligence is the practice of thwarting enemy espionage and intelligence-gathering. Almost all nations have strict laws concerning espionage and the penalty for being caught is often severe. However, the benefits gained through espionage are often so great that most governments and many large corporations make use of it.
Information collection techniques used in the conduct of clandestine human intelligence include operational techniques, asset recruiting, and tradecraft.
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counter-intelligence
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Counterintelligence is an activity aimed at protecting an agency's intelligence program against an opposition's intelligence service. It likewise refers to information gathered and activities conducted to counter espionage, other intelligence activities, sabotage, or assassinations conducted for or on behalf of foreign powers, organizations or persons, international terrorist activities, sometimes including personnel, physical, document, or communications security programs.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/counter-intelligence
Article
Counterintelligence is an activity aimed at protecting an agency's intelligence program against an opposition's intelligence service. It likewise refers to information gathered and activities conducted to counter espionage, other intelligence activities, sabotage, or assassinations conducted for or on behalf of foreign powers, organizations or persons, international terrorist activities, sometimes including personnel, physical, document, or communications security programs.
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media use
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Media psychology is the branch of psychology that focuses on the interaction of human behavior and media and technology. Media psychology is not restricted to mass media or media content; it includes all forms of mediated communication and media technology-related behaviors, such as the use, design, impact and sharing behaviors. This branch is a relatively new field of study because of advancement in technology. It uses various methods of critical analysis and investigation to develop a working model of a user's perception on media experience. These methods are used for society as a whole and on an individual basis. Media psychologists are able to perform activities that include consulting, design, and production in various media like television, video games, films, and news broadcasting. Media psychologists are not considered to be those who are featured in media (such as counselors-psychotherapists, clinicians etc.), rather than those who research, work or contribute to the field.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/media use
Article
Media psychology is the branch of psychology that focuses on the interaction of human behavior and media and technology. Media psychology is not restricted to mass media or media content; it includes all forms of mediated communication and media technology-related behaviors, such as the use, design, impact and sharing behaviors. This branch is a relatively new field of study because of advancement in technology. It uses various methods of critical analysis and investigation to develop a working model of a user's perception on media experience. These methods are used for society as a whole and on an individual basis. Media psychologists are able to perform activities that include consulting, design, and production in various media like television, video games, films, and news broadcasting. Media psychologists are not considered to be those who are featured in media (such as counselors-psychotherapists, clinicians etc.), rather than those who research, work or contribute to the field.
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social media analytics
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Social media analytics is the process of gathering data from stakeholder conversations on digital media and processing into structured insights leading to more information-driven business decisions and increased customer centrality for brands and businesses.Social media analytics is an interdisciplinary area that is used in social science and computer sciences interchangeably. Social media analytics provides a human trace to the social scientist which could be used in wide spectrum of disciplines such as sociology, political sciences, and geology. Social media provides two broad contexts from social scientist perspective; it provides a wide range of data in already well established social science subjects such as political sciences and sociology, and social media sometimes is seen as a fundamental change in underlying assumptions of the social theory. Political scientists can follow unfolding political protest online and the exchange of information between communities of different languages. Meanwhile, it is very difficult to connect the social scientific understanding of social to social media data. For example, the concept of conventional friendship hardly applies to the concept of friendship in social media.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social media analytics
Article
Social media analytics is the process of gathering data from stakeholder conversations on digital media and processing into structured insights leading to more information-driven business decisions and increased customer centrality for brands and businesses.Social media analytics is an interdisciplinary area that is used in social science and computer sciences interchangeably. Social media analytics provides a human trace to the social scientist which could be used in wide spectrum of disciplines such as sociology, political sciences, and geology. Social media provides two broad contexts from social scientist perspective; it provides a wide range of data in already well established social science subjects such as political sciences and sociology, and social media sometimes is seen as a fundamental change in underlying assumptions of the social theory. Political scientists can follow unfolding political protest online and the exchange of information between communities of different languages. Meanwhile, it is very difficult to connect the social scientific understanding of social to social media data. For example, the concept of conventional friendship hardly applies to the concept of friendship in social media.
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business intelligence
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Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a complete picture which, in effect, creates an "intelligence" that cannot be derived from any singular set of data. Amongst myriad uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts.Often BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts of BI and DW combine as "BI/DW"
or as "BIDW". A data warehouse contains a copy of analytical data that facilitate decision support.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/business intelligence
Article
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a complete picture which, in effect, creates an "intelligence" that cannot be derived from any singular set of data. Amongst myriad uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts.Often BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts of BI and DW combine as "BI/DW"
or as "BIDW". A data warehouse contains a copy of analytical data that facilitate decision support.
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National Security Agency
Bottom Center
The National Security Agency (NSA) is a national-level intelligence agency of the United States Department of Defense, under the authority of the Director of National Intelligence. The NSA is responsible for global monitoring, collection, and processing of information and data for foreign and domestic intelligence and counterintelligence purposes, specializing in a discipline known as signals intelligence (SIGINT). The NSA is also tasked with the protection of U.S. communications networks and information systems. The NSA relies on a variety of measures to accomplish its mission, the majority of which are clandestine.Originating as a unit to decipher coded communications in World War II, it was officially formed as the NSA by President Harry S. Truman in 1952. Since then, it has become the largest of the U.S. intelligence organizations in terms of personnel and budget. The NSA currently conducts worldwide mass data collection and has been known to physically bug electronic systems as one method to this end. The NSA has also been alleged to have been behind such attack software as Stuxnet, which severely damaged Iran's nuclear program. The NSA, alongside the Central Intelligence Agency (CIA), maintains a physical presence in many countries across the globe; the CIA/NSA joint Special Collection Service (a highly classified intelligence team) inserts eavesdropping devices in high value targets (such as Presidential palaces or embassies). SCS collection tactics allegedly encompass "close surveillance, burglary, wiretapping, [and] breaking and entering".Unlike the CIA and the Defense Intelligence Agency (DIA), both of which specialize primarily in foreign human espionage, the NSA does not publicly conduct human-source intelligence gathering. The NSA is entrusted with providing assistance to, and the coordination of, SIGINT elements for other government organizations – which are prevented by law from engaging in such activities on their own. As part of these responsibilities, the agency has a co-located organization called the Central Security Service (CSS), which facilitates cooperation between the NSA and other U.S. defense cryptanalysis components. To further ensure streamlined communication between the signals intelligence community divisions, the NSA Director simultaneously serves as the Commander of the United States Cyber Command and as Chief of the Central Security Service.
The NSA's actions have been a matter of political controversy on several occasions, including its spying on anti-Vietnam-war leaders and the agency's participation in economic espionage. In 2013, the NSA had many of its secret surveillance programs revealed to the public by Edward Snowden, a former NSA contractor. According to the leaked documents, the NSA intercepts and stores the communications of over a billion people worldwide, including United States citizens. The documents also revealed the NSA tracks hundreds of millions of people's movements using cellphones metadata. Internationally, research has pointed to the NSA's ability to surveil the domestic Internet traffic of foreign countries through "boomerang routing".
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/National Security Agency
Article
The National Security Agency (NSA) is a national-level intelligence agency of the United States Department of Defense, under the authority of the Director of National Intelligence. The NSA is responsible for global monitoring, collection, and processing of information and data for foreign and domestic intelligence and counterintelligence purposes, specializing in a discipline known as signals intelligence (SIGINT). The NSA is also tasked with the protection of U.S. communications networks and information systems. The NSA relies on a variety of measures to accomplish its mission, the majority of which are clandestine.Originating as a unit to decipher coded communications in World War II, it was officially formed as the NSA by President Harry S. Truman in 1952. Since then, it has become the largest of the U.S. intelligence organizations in terms of personnel and budget. The NSA currently conducts worldwide mass data collection and has been known to physically bug electronic systems as one method to this end. The NSA has also been alleged to have been behind such attack software as Stuxnet, which severely damaged Iran's nuclear program. The NSA, alongside the Central Intelligence Agency (CIA), maintains a physical presence in many countries across the globe; the CIA/NSA joint Special Collection Service (a highly classified intelligence team) inserts eavesdropping devices in high value targets (such as Presidential palaces or embassies). SCS collection tactics allegedly encompass "close surveillance, burglary, wiretapping, [and] breaking and entering".Unlike the CIA and the Defense Intelligence Agency (DIA), both of which specialize primarily in foreign human espionage, the NSA does not publicly conduct human-source intelligence gathering. The NSA is entrusted with providing assistance to, and the coordination of, SIGINT elements for other government organizations – which are prevented by law from engaging in such activities on their own. As part of these responsibilities, the agency has a co-located organization called the Central Security Service (CSS), which facilitates cooperation between the NSA and other U.S. defense cryptanalysis components. To further ensure streamlined communication between the signals intelligence community divisions, the NSA Director simultaneously serves as the Commander of the United States Cyber Command and as Chief of the Central Security Service.
The NSA's actions have been a matter of political controversy on several occasions, including its spying on anti-Vietnam-war leaders and the agency's participation in economic espionage. In 2013, the NSA had many of its secret surveillance programs revealed to the public by Edward Snowden, a former NSA contractor. According to the leaked documents, the NSA intercepts and stores the communications of over a billion people worldwide, including United States citizens. The documents also revealed the NSA tracks hundreds of millions of people's movements using cellphones metadata. Internationally, research has pointed to the NSA's ability to surveil the domestic Internet traffic of foreign countries through "boomerang routing".
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information system
Bottom Center
Information systems (IS) are formal, sociotechnical, organizational systems designed to collect, process, store, and distribute information. In a sociotechnical perspective, information systems are composed by four components: task, people, structure (or roles), and technology.A computer information system is a system composed of people and computers that processes or interprets information. The term is also sometimes used in more restricted senses to refer to only the software used to run a computerized database or to refer to only a computer system.
Information Systems is an academic study of systems with a specific reference to information and the complementary networks of hardware and software that people and organizations use to collect, filter, process, create and also distribute data. An emphasis is placed on an information system having a definitive boundary, users, processors, storage, inputs, outputs and the aforementioned communication networks.Any specific information system aims to support operations, management and decision-making. An information system is the information and communication technology (ICT) that an organization uses, and also the way in which people interact with this technology in support of business processes.Some authors make a clear distinction between information systems, computer systems, and business processes. Information systems typically include an ICT component but are not purely concerned with ICT, focusing instead on the end use of information technology. Information systems are also different from business processes. Information systems help to control the performance of business processes.Alter argues for advantages of viewing an information system as a special type of work system. A work system is a system in which humans or machines perform processes and activities using resources to produce specific products or services for customers. An information system is a work system whose activities are devoted to capturing, transmitting, storing, retrieving, manipulating and displaying information.As such, information systems inter-relate with data systems on the one hand and activity systems on the other. An information system is a form of communication system in which data represent and are processed as a form of social memory. An information system can also be considered a semi-formal language which supports human decision making and action.
Information systems are the primary focus of study for organizational informatics.
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http://en.wikipedia.org/wiki/information system
Article
Information systems (IS) are formal, sociotechnical, organizational systems designed to collect, process, store, and distribute information. In a sociotechnical perspective, information systems are composed by four components: task, people, structure (or roles), and technology.A computer information system is a system composed of people and computers that processes or interprets information. The term is also sometimes used in more restricted senses to refer to only the software used to run a computerized database or to refer to only a computer system.
Information Systems is an academic study of systems with a specific reference to information and the complementary networks of hardware and software that people and organizations use to collect, filter, process, create and also distribute data. An emphasis is placed on an information system having a definitive boundary, users, processors, storage, inputs, outputs and the aforementioned communication networks.Any specific information system aims to support operations, management and decision-making. An information system is the information and communication technology (ICT) that an organization uses, and also the way in which people interact with this technology in support of business processes.Some authors make a clear distinction between information systems, computer systems, and business processes. Information systems typically include an ICT component but are not purely concerned with ICT, focusing instead on the end use of information technology. Information systems are also different from business processes. Information systems help to control the performance of business processes.Alter argues for advantages of viewing an information system as a special type of work system. A work system is a system in which humans or machines perform processes and activities using resources to produce specific products or services for customers. An information system is a work system whose activities are devoted to capturing, transmitting, storing, retrieving, manipulating and displaying information.As such, information systems inter-relate with data systems on the one hand and activity systems on the other. An information system is a form of communication system in which data represent and are processed as a form of social memory. An information system can also be considered a semi-formal language which supports human decision making and action.
Information systems are the primary focus of study for organizational informatics.
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link prediction
Bottom Center
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http://en.wikipedia.org/wiki/link prediction
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recommender system
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A recommender system or a recommendation system (sometimes replacing "system" with a synonym such as platform or engine) is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. There are also recommender systems for experts, collaborators, jokes, restaurants, garments, financial services, life insurance, romantic partners (online dating), and Twitter pages.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/recommender system
Article
A recommender system or a recommendation system (sometimes replacing "system" with a synonym such as platform or engine) is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. There are also recommender systems for experts, collaborators, jokes, restaurants, garments, financial services, life insurance, romantic partners (online dating), and Twitter pages.
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social sharing
Bottom Center
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social sharing
Article
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https://upload.wikimedia.org/wikipedia/commons/c/c5/Gravitational_potential_summation_2.png
potential energy
Bottom Center
In physics, potential energy is the energy held by an object because of its position relative to other objects, stresses within itself, its electric charge, or other factors.Common types of potential energy include the gravitational potential energy of an object that depends on its mass and its distance from the center of mass of another object, the elastic potential energy of an extended spring, and the electric potential energy of an electric charge in an electric field. The unit for energy in the International System of Units (SI) is the joule, which has the symbol J.
The term potential energy was introduced by the 19th-century Scottish engineer and physicist William Rankine, although it has links to Greek philosopher Aristotle's concept of potentiality.
Potential energy is associated with forces that act on a body in a way that the total work done by these forces on the body depends only on the initial and final positions of the body in space. These forces, that are called conservative forces, can be represented at every point in space by vectors expressed as gradients of a certain scalar function called potential.
Since the work of potential forces acting on a body that moves from a start to an end position is determined only by these two positions, and does not depend on the trajectory of the body, there is a function known as potential or potential energy that can be evaluated at the two positions to determine this work.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/potential energy
Article
In physics, potential energy is the energy held by an object because of its position relative to other objects, stresses within itself, its electric charge, or other factors.Common types of potential energy include the gravitational potential energy of an object that depends on its mass and its distance from the center of mass of another object, the elastic potential energy of an extended spring, and the electric potential energy of an electric charge in an electric field. The unit for energy in the International System of Units (SI) is the joule, which has the symbol J.
The term potential energy was introduced by the 19th-century Scottish engineer and physicist William Rankine, although it has links to Greek philosopher Aristotle's concept of potentiality.
Potential energy is associated with forces that act on a body in a way that the total work done by these forces on the body depends only on the initial and final positions of the body in space. These forces, that are called conservative forces, can be represented at every point in space by vectors expressed as gradients of a certain scalar function called potential.
Since the work of potential forces acting on a body that moves from a start to an end position is determined only by these two positions, and does not depend on the trajectory of the body, there is a function known as potential or potential energy that can be evaluated at the two positions to determine this work.
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TEDx
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TED Conferences LLC (Technology, Entertainment, Design) is a media organization that posts talks online for free distribution under the slogan "ideas worth spreading." TED was conceived by Richard Saul Wurman in February 1984 as a conference which has been held annually since 1990. TED's early emphasis was on technology and design, consistent with its Silicon Valley origins, but it has since broadened its repertoire to include talks on many scientific, cultural, and academic topics. It is owned by Chris Anderson, a British American businessman, through the Sapling Foundation.The main TED conference is held annually in Vancouver, British Columbia, Canada at the Vancouver Convention Centre. Prior to 2014, the conference was held in Long Beach, California, United States. TED events are also held throughout North America and in Europe, Asia and Africa, offering live streaming of the talks. They address a wide range of topics within the research and practice of science and culture, often through storytelling. The speakers are given a maximum of 18 minutes to present their ideas in the most innovative and engaging ways they can. Past speakers include Bill Clinton, Sean M. Carroll, Elon Musk, Ray Dalio, Cédric Villani, Stephen Hawking, Jane Goodall, Al Gore, Temple Grandin, Gordon Brown, David Cameron, Billy Graham, Richard Dawkins, Sam Harris, Bill Gates, Dolph Lundgren, Bob Weir, Shashi Tharoor, Bono, Larry Page and Sergey Brin, Leana Wen, Pope Francis, and many Nobel Prize winners. TED's current curator is the British former computer journalist and magazine publisher Chris Anderson.
Since June 2006, TED Talks have been offered for free viewing online, under an Attribution-NonCommercial-NoDerivatives Creative Commons license, through TED.com. As of January 2018, over 2,600 TED Talks are freely available on the website. In June 2011, TED Talks' combined viewing figure stood at more than 500 million, and by November 2012, TED Talks had been watched over one billion times worldwide. TED Talks given by academics tend to be watched more online while art and design videos tend to be watched less than average.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/TEDx
Article
TED Conferences LLC (Technology, Entertainment, Design) is a media organization that posts talks online for free distribution under the slogan "ideas worth spreading." TED was conceived by Richard Saul Wurman in February 1984 as a conference which has been held annually since 1990. TED's early emphasis was on technology and design, consistent with its Silicon Valley origins, but it has since broadened its repertoire to include talks on many scientific, cultural, and academic topics. It is owned by Chris Anderson, a British American businessman, through the Sapling Foundation.The main TED conference is held annually in Vancouver, British Columbia, Canada at the Vancouver Convention Centre. Prior to 2014, the conference was held in Long Beach, California, United States. TED events are also held throughout North America and in Europe, Asia and Africa, offering live streaming of the talks. They address a wide range of topics within the research and practice of science and culture, often through storytelling. The speakers are given a maximum of 18 minutes to present their ideas in the most innovative and engaging ways they can. Past speakers include Bill Clinton, Sean M. Carroll, Elon Musk, Ray Dalio, Cédric Villani, Stephen Hawking, Jane Goodall, Al Gore, Temple Grandin, Gordon Brown, David Cameron, Billy Graham, Richard Dawkins, Sam Harris, Bill Gates, Dolph Lundgren, Bob Weir, Shashi Tharoor, Bono, Larry Page and Sergey Brin, Leana Wen, Pope Francis, and many Nobel Prize winners. TED's current curator is the British former computer journalist and magazine publisher Chris Anderson.
Since June 2006, TED Talks have been offered for free viewing online, under an Attribution-NonCommercial-NoDerivatives Creative Commons license, through TED.com. As of January 2018, over 2,600 TED Talks are freely available on the website. In June 2011, TED Talks' combined viewing figure stood at more than 500 million, and by November 2012, TED Talks had been watched over one billion times worldwide. TED Talks given by academics tend to be watched more online while art and design videos tend to be watched less than average.
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social marketing intelligence
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Social marketing intelligence is the method of extrapolating valuable information from social network interactions and data flows that can enable companies to launch new products and services into the market at greater speed and lower cost. This is an area of research however, companies using social marketing intelligence have achieved significant improvement in marketing campaigns.Through social marketing intelligence, companies can identify people that are the most influential within their communities. These are the most connected people within any given social network. These people, sometimes called the alpha users or hubs as in small-world network theory, have considerable influence over the spread of information within their social network.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social marketing intelligence
Article
Social marketing intelligence is the method of extrapolating valuable information from social network interactions and data flows that can enable companies to launch new products and services into the market at greater speed and lower cost. This is an area of research however, companies using social marketing intelligence have achieved significant improvement in marketing campaigns.Through social marketing intelligence, companies can identify people that are the most influential within their communities. These are the most connected people within any given social network. These people, sometimes called the alpha users or hubs as in small-world network theory, have considerable influence over the spread of information within their social network.
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viral marketing
Bottom Center
Viral marketing or viral advertising is a business strategy that uses existing social networks to promote a product. Its name refers to how consumers spread information about a product with other people in their social networks, much in the same way that a virus spreads from one person to another. It can be delivered by word of mouth or enhanced by the network effects of the Internet and mobile networks.The concept is often misused or misunderstood, as people apply it to any successful enough story without taking into account the word "viral".Viral advertising is personal and, while coming from an identified sponsor, it does not mean businesses pay for its distribution. Most of the well-known viral ads circulating online are ads paid by a sponsor company, launched either on their own platform (company webpage or social media profile) or on social media websites such as YouTube. Consumers receive the page link from a social media network or copy the entire ad from a website and pass it along through e-mail or posting it on a blog, webpage or social media profile. Viral marketing may take the form of video clips, interactive Flash games, advergames, ebooks, brandable software, images, text messages, email messages, or web pages. The most commonly utilized transmission vehicles for viral messages include: pass-along based, incentive based, trendy based, and undercover based. However, the creative nature of viral marketing enables an "endless amount of potential forms and vehicles the messages can utilize for transmission", including mobile devices.The ultimate goal of marketers interested in creating successful viral marketing programs is to create viral messages that appeal to individuals with high social networking potential (SNP) and that have a high probability of being presented and spread by these individuals and their competitors in their communications with others in a short period of time.The term "viral marketing" has also been used pejoratively to refer to stealth marketing campaigns—marketing strategies that advertise a product to people without them knowing they are being marketed to.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/viral marketing
Article
Viral marketing or viral advertising is a business strategy that uses existing social networks to promote a product. Its name refers to how consumers spread information about a product with other people in their social networks, much in the same way that a virus spreads from one person to another. It can be delivered by word of mouth or enhanced by the network effects of the Internet and mobile networks.The concept is often misused or misunderstood, as people apply it to any successful enough story without taking into account the word "viral".Viral advertising is personal and, while coming from an identified sponsor, it does not mean businesses pay for its distribution. Most of the well-known viral ads circulating online are ads paid by a sponsor company, launched either on their own platform (company webpage or social media profile) or on social media websites such as YouTube. Consumers receive the page link from a social media network or copy the entire ad from a website and pass it along through e-mail or posting it on a blog, webpage or social media profile. Viral marketing may take the form of video clips, interactive Flash games, advergames, ebooks, brandable software, images, text messages, email messages, or web pages. The most commonly utilized transmission vehicles for viral messages include: pass-along based, incentive based, trendy based, and undercover based. However, the creative nature of viral marketing enables an "endless amount of potential forms and vehicles the messages can utilize for transmission", including mobile devices.The ultimate goal of marketers interested in creating successful viral marketing programs is to create viral messages that appeal to individuals with high social networking potential (SNP) and that have a high probability of being presented and spread by these individuals and their competitors in their communications with others in a short period of time.The term "viral marketing" has also been used pejoratively to refer to stealth marketing campaigns—marketing strategies that advertise a product to people without them knowing they are being marketed to.
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Viral Marketing
Bottom Center
Viral marketing or viral advertising is a business strategy that uses existing social networks to promote a product. Its name refers to how consumers spread information about a product with other people in their social networks, much in the same way that a virus spreads from one person to another. It can be delivered by word of mouth or enhanced by the network effects of the Internet and mobile networks.The concept is often misused or misunderstood, as people apply it to any successful enough story without taking into account the word "viral".Viral advertising is personal and, while coming from an identified sponsor, it does not mean businesses pay for its distribution. Most of the well-known viral ads circulating online are ads paid by a sponsor company, launched either on their own platform (company webpage or social media profile) or on social media websites such as YouTube. Consumers receive the page link from a social media network or copy the entire ad from a website and pass it along through e-mail or posting it on a blog, webpage or social media profile. Viral marketing may take the form of video clips, interactive Flash games, advergames, ebooks, brandable software, images, text messages, email messages, or web pages. The most commonly utilized transmission vehicles for viral messages include: pass-along based, incentive based, trendy based, and undercover based. However, the creative nature of viral marketing enables an "endless amount of potential forms and vehicles the messages can utilize for transmission", including mobile devices.The ultimate goal of marketers interested in creating successful viral marketing programs is to create viral messages that appeal to individuals with high social networking potential (SNP) and that have a high probability of being presented and spread by these individuals and their competitors in their communications with others in a short period of time.The term "viral marketing" has also been used pejoratively to refer to stealth marketing campaigns—marketing strategies that advertise a product to people without them knowing they are being marketed to.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Viral Marketing
Article
Viral marketing or viral advertising is a business strategy that uses existing social networks to promote a product. Its name refers to how consumers spread information about a product with other people in their social networks, much in the same way that a virus spreads from one person to another. It can be delivered by word of mouth or enhanced by the network effects of the Internet and mobile networks.The concept is often misused or misunderstood, as people apply it to any successful enough story without taking into account the word "viral".Viral advertising is personal and, while coming from an identified sponsor, it does not mean businesses pay for its distribution. Most of the well-known viral ads circulating online are ads paid by a sponsor company, launched either on their own platform (company webpage or social media profile) or on social media websites such as YouTube. Consumers receive the page link from a social media network or copy the entire ad from a website and pass it along through e-mail or posting it on a blog, webpage or social media profile. Viral marketing may take the form of video clips, interactive Flash games, advergames, ebooks, brandable software, images, text messages, email messages, or web pages. The most commonly utilized transmission vehicles for viral messages include: pass-along based, incentive based, trendy based, and undercover based. However, the creative nature of viral marketing enables an "endless amount of potential forms and vehicles the messages can utilize for transmission", including mobile devices.The ultimate goal of marketers interested in creating successful viral marketing programs is to create viral messages that appeal to individuals with high social networking potential (SNP) and that have a high probability of being presented and spread by these individuals and their competitors in their communications with others in a short period of time.The term "viral marketing" has also been used pejoratively to refer to stealth marketing campaigns—marketing strategies that advertise a product to people without them knowing they are being marketed to.
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relevance
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Relevance is the concept of one topic being connected to another topic in a way that makes it useful to consider the second topic when considering the first. The concept of relevance is studied in many different fields, including cognitive sciences, logic, and library and information science. Most fundamentally, however, it is studied in epistemology (the theory of knowledge). Different theories of knowledge have different implications for what is considered relevant and these fundamental views have implications for all other fields as well.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/relevance
Article
Relevance is the concept of one topic being connected to another topic in a way that makes it useful to consider the second topic when considering the first. The concept of relevance is studied in many different fields, including cognitive sciences, logic, and library and information science. Most fundamentally, however, it is studied in epistemology (the theory of knowledge). Different theories of knowledge have different implications for what is considered relevant and these fundamental views have implications for all other fields as well.
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Sociomapping
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Sociomapping is a method developed for processing and visualization of relational data (e.g. social network data). It is most commonly used for mapping the social structure within small teams (10-25 people). Sociomapping uses the landscape metaphor to display complex multi-dimensional data in a 3D map, where individual objects are localized in such way that their distance on the map corresponds to their distance in the underlying data.
Thanks to its visual coding Sociomapping engages our evolved skills for spatial orientation and movement detection, thus making the interpretation of complex data easy and accessible for everyone.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Sociomapping
Article
Sociomapping is a method developed for processing and visualization of relational data (e.g. social network data). It is most commonly used for mapping the social structure within small teams (10-25 people). Sociomapping uses the landscape metaphor to display complex multi-dimensional data in a 3D map, where individual objects are localized in such way that their distance on the map corresponds to their distance in the underlying data.
Thanks to its visual coding Sociomapping engages our evolved skills for spatial orientation and movement detection, thus making the interpretation of complex data easy and accessible for everyone.
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marketing research
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Marketing research is "the process or set of processes that links the producers, customers, and end users to the marketer through information used to identify and define marketing opportunities and problems; generate, refine, and evaluate marketing actions; monitor marketing performance; and improve understanding of marketing as a process.
Marketing research specifies the information required to address these issues, designs the method for collecting information, manages and implements the data collection process, analyzes the results, and communicates the findings and their implications."It is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal of marketing research is to identify and assess how changing elements of the marketing mix impacts customer behavior. The term is commonly interchanged with market research; however, expert practitioners may wish to draw a distinction, in that market research is concerned specifically with markets, while marketing research is concerned specifically about marketing processes.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/marketing research
Article
Marketing research is "the process or set of processes that links the producers, customers, and end users to the marketer through information used to identify and define marketing opportunities and problems; generate, refine, and evaluate marketing actions; monitor marketing performance; and improve understanding of marketing as a process.
Marketing research specifies the information required to address these issues, designs the method for collecting information, manages and implements the data collection process, analyzes the results, and communicates the findings and their implications."It is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal of marketing research is to identify and assess how changing elements of the marketing mix impacts customer behavior. The term is commonly interchanged with market research; however, expert practitioners may wish to draw a distinction, in that market research is concerned specifically with markets, while marketing research is concerned specifically about marketing processes.
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coefficient
Bottom Center
In mathematics, a coefficient is a multiplicative factor in some term of a polynomial, a series, or any expression; it is usually a number, but may be any expression. In the latter case, the variables appearing in the coefficients are often called parameters, and must be clearly distinguished from the other variables.
For example, in
7
x
2
−
3
x
y
+
1.5
+
y
,
{\displaystyle 7x^{2}-3xy+1.5+y,}
the first two terms respectively have the coefficients 7 and −3. The third term 1.5 is a constant coefficient. The final term does not have any explicitly written coefficient, but is considered to have coefficient 1, since multiplying by that factor would not change the term.
Often coefficients are numbers as in this example, although they could be parameters of the problem or any expression in these parameters. In such a case one must clearly distinguish between symbols representing variables and symbols representing parameters. Following René Descartes, the variables are often denoted by x, y, ..., and the parameters by a, b, c, ..., but it is not always the case. For example, if y is considered as a parameter in the above expression, the coefficient of x is −3y, and the constant coefficient is 1.5 + y.
When one writes
a
x
2
+
b
x
+
c
,
{\displaystyle ax^{2}+bx+c,}
it is generally supposed that x is the only variable and that a, b and c are parameters; thus the constant coefficient is c in this case.
Similarly, any polynomial in one variable x can be written as
a
k
x
k
+
⋯
+
a
1
x
1
+
a
0
{\displaystyle a_{k}x^{k}+\dotsb +a_{1}x^{1}+a_{0}}
for some positive integer
k
{\displaystyle k}
, where
a
k
,
…
,
a
1
,
a
0
{\displaystyle a_{k},\dotsc ,a_{1},a_{0}}
are coefficients; to allow this kind of expression in all cases one must allow introducing terms with 0 as coefficient.
For the largest
i
{\displaystyle i}
with
a
i
≠
0
{\displaystyle a_{i}\neq 0}
(if any),
a
i
{\displaystyle a_{i}}
is called the leading coefficient of the polynomial. So for example the leading coefficient of the polynomial
4
x
5
+
x
3
+
2
x
2
{\displaystyle \,4x^{5}+x^{3}+2x^{2}}
is 4.
Some specific coefficients that occur frequently in mathematics have received a name. This is the case of the binomial coefficients, the coefficients which occur in the expanded form of
(
x
+
y
)
n
{\displaystyle (x+y)^{n}}
, and are tabulated in Pascal's triangle.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/coefficient
Article
In mathematics, a coefficient is a multiplicative factor in some term of a polynomial, a series, or any expression; it is usually a number, but may be any expression. In the latter case, the variables appearing in the coefficients are often called parameters, and must be clearly distinguished from the other variables.
For example, in
7
x
2
−
3
x
y
+
1.5
+
y
,
{\displaystyle 7x^{2}-3xy+1.5+y,}
the first two terms respectively have the coefficients 7 and −3. The third term 1.5 is a constant coefficient. The final term does not have any explicitly written coefficient, but is considered to have coefficient 1, since multiplying by that factor would not change the term.
Often coefficients are numbers as in this example, although they could be parameters of the problem or any expression in these parameters. In such a case one must clearly distinguish between symbols representing variables and symbols representing parameters. Following René Descartes, the variables are often denoted by x, y, ..., and the parameters by a, b, c, ..., but it is not always the case. For example, if y is considered as a parameter in the above expression, the coefficient of x is −3y, and the constant coefficient is 1.5 + y.
When one writes
a
x
2
+
b
x
+
c
,
{\displaystyle ax^{2}+bx+c,}
it is generally supposed that x is the only variable and that a, b and c are parameters; thus the constant coefficient is c in this case.
Similarly, any polynomial in one variable x can be written as
a
k
x
k
+
⋯
+
a
1
x
1
+
a
0
{\displaystyle a_{k}x^{k}+\dotsb +a_{1}x^{1}+a_{0}}
for some positive integer
k
{\displaystyle k}
, where
a
k
,
…
,
a
1
,
a
0
{\displaystyle a_{k},\dotsc ,a_{1},a_{0}}
are coefficients; to allow this kind of expression in all cases one must allow introducing terms with 0 as coefficient.
For the largest
i
{\displaystyle i}
with
a
i
≠
0
{\displaystyle a_{i}\neq 0}
(if any),
a
i
{\displaystyle a_{i}}
is called the leading coefficient of the polynomial. So for example the leading coefficient of the polynomial
4
x
5
+
x
3
+
2
x
2
{\displaystyle \,4x^{5}+x^{3}+2x^{2}}
is 4.
Some specific coefficients that occur frequently in mathematics have received a name. This is the case of the binomial coefficients, the coefficients which occur in the expanded form of
(
x
+
y
)
n
{\displaystyle (x+y)^{n}}
, and are tabulated in Pascal's triangle.
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422
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270.798357626412
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
Net-map toolbox
Bottom Center
The net-map toolbox is a social network analysis tool that uses interviews and mapping to help people understand, visualize, discuss, and improve situations in which many different actors influence outcomes. Social network analysis is a research approach used by scholars such as S.D. Berkowitz, Stephen Borgatti, Ronald Burt, Linton Freeman, Mark Granovetter, Nicholas Mullins, Anatol Rapoport, Stanley Wasserman, Barry Wellman, and Harrison White to better understand the implications of the position of individual actors in a social structure.
Individuals create influence network maps using materials from a physical toolkit. Actor names are written on post-it notes and distributed on a large sheet of paper. Lines are drawn to link the actors and reveal how they are connected or not connected, and “influence towers” are built to reflect the relative power of each actor (the higher the influence tower, the greater the influence). Photos displaying these influence network maps are available on the Net-Map blog.
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0
75
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Net-map toolbox
Article
The net-map toolbox is a social network analysis tool that uses interviews and mapping to help people understand, visualize, discuss, and improve situations in which many different actors influence outcomes. Social network analysis is a research approach used by scholars such as S.D. Berkowitz, Stephen Borgatti, Ronald Burt, Linton Freeman, Mark Granovetter, Nicholas Mullins, Anatol Rapoport, Stanley Wasserman, Barry Wellman, and Harrison White to better understand the implications of the position of individual actors in a social structure.
Individuals create influence network maps using materials from a physical toolkit. Actor names are written on post-it notes and distributed on a large sheet of paper. Lines are drawn to link the actors and reveal how they are connected or not connected, and “influence towers” are built to reflect the relative power of each actor (the higher the influence tower, the greater the influence). Photos displaying these influence network maps are available on the Net-Map blog.
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0
0
0
155
98.1012658227848
158
Image
460.29873376996
https://upload.wikimedia.org/wikipedia/commons/0/03/Barry_Wellman_and_Nancy_Baym_at_Cornell_%28439978413%29.jpg
Barry Wellman
Bottom Center
Barry Wellman, FRSC (born 1942) is a Canadian-American sociologist and is the co-director of the Toronto-based international NetLab Network. His areas of research are community sociology, the Internet, human-computer interaction and social structure, as manifested in social networks in communities and organizations. His overarching interest is in the paradigm shift from group-centered relations to networked individualism. He has written or co-authored more than 300 articles, chapters, reports and books. Wellman was a professor at the Department of Sociology, University of Toronto for 46 years, from 1967 to 2013, including a five-year stint as S.D. Clark Professor.
Among the concepts Wellman has published are: "network of networks" and "the network city" (both with Paul Craven), "the community question", "computer networks as social networks", "connected lives" and the "immanent Internet" (both with Bernie Hogan), "media-multiplexity" (with Caroline Haythornthwaite), "networked individualism" and "networked society", "personal community" and "personal network" and three with Anabel Quan-Haase: "hyperconnectivity", "local virtuality" and "virtual locality".Lee Rainie and Barry Wellman are co-authors of the 2012 prize-winning Networked: The New Social Operating System (MIT Press). Wellman is also the editor of three books, and the author of more than 500 articles, often written with students.Wellman has received career achievement awards from the Canadian Sociology and Anthropology Association, the International Network for Social Network Analysis, the International Communication Association, the GRAND Network of Centres of Excellence, and two sections of the American Sociological Association: Community and Urban Sociology; Communication and Information Technologies. He was elected as a Fellow of the Royal Society of Canada in 2007. In 2012, Wellman was identified as having the highest h-index (of citations) of all Canadian sociologists. Wellman was a faculty member at the Department of Sociology at the University of Toronto for 46 years, from 1967 to 2013. Since July 2013, he has co-directed the NetLab Network. Wellman was honoured with the Lim Chong Yah Visiting Professorship of Communications and New Media at the National University of Singapore in January–February 2015.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Barry Wellman
Article
Barry Wellman, FRSC (born 1942) is a Canadian-American sociologist and is the co-director of the Toronto-based international NetLab Network. His areas of research are community sociology, the Internet, human-computer interaction and social structure, as manifested in social networks in communities and organizations. His overarching interest is in the paradigm shift from group-centered relations to networked individualism. He has written or co-authored more than 300 articles, chapters, reports and books. Wellman was a professor at the Department of Sociology, University of Toronto for 46 years, from 1967 to 2013, including a five-year stint as S.D. Clark Professor.
Among the concepts Wellman has published are: "network of networks" and "the network city" (both with Paul Craven), "the community question", "computer networks as social networks", "connected lives" and the "immanent Internet" (both with Bernie Hogan), "media-multiplexity" (with Caroline Haythornthwaite), "networked individualism" and "networked society", "personal community" and "personal network" and three with Anabel Quan-Haase: "hyperconnectivity", "local virtuality" and "virtual locality".Lee Rainie and Barry Wellman are co-authors of the 2012 prize-winning Networked: The New Social Operating System (MIT Press). Wellman is also the editor of three books, and the author of more than 500 articles, often written with students.Wellman has received career achievement awards from the Canadian Sociology and Anthropology Association, the International Network for Social Network Analysis, the International Communication Association, the GRAND Network of Centres of Excellence, and two sections of the American Sociological Association: Community and Urban Sociology; Communication and Information Technologies. He was elected as a Fellow of the Royal Society of Canada in 2007. In 2012, Wellman was identified as having the highest h-index (of citations) of all Canadian sociologists. Wellman was a faculty member at the Department of Sociology at the University of Toronto for 46 years, from 1967 to 2013. Since July 2013, he has co-directed the NetLab Network. Wellman was honoured with the Lim Chong Yah Visiting Professorship of Communications and New Media at the National University of Singapore in January–February 2015.
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https://upload.wikimedia.org/wikipedia/commons/7/73/Blue_pencil.svg
Mark Granovetter
Bottom Center
Mark Granovetter (; born October 20, 1943) is an American sociologist and professor at Stanford University. Granovetter was recently recognized as a Citation Laureate by Thomson Reuters and added to that organization’s list of predicted Nobel Prize winners in economics for the year 2014. Data from the Web of Science show that Granovetter has written both the first and third most cited sociology articles. He is best known for his work in social network theory and in economic sociology, particularly his theory on the spread of information in social networks known as "The Strength of Weak Ties" (1973).
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0.004405
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0.222222222222222
77
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Mark Granovetter
Article
Mark Granovetter (; born October 20, 1943) is an American sociologist and professor at Stanford University. Granovetter was recently recognized as a Citation Laureate by Thomson Reuters and added to that organization’s list of predicted Nobel Prize winners in economics for the year 2014. Data from the Web of Science show that Granovetter has written both the first and third most cited sociology articles. He is best known for his work in social network theory and in economic sociology, particularly his theory on the spread of information in social networks known as "The Strength of Weak Ties" (1973).
0.307862
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4
4.08163265306122
1
1.02040816326531
0
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94.8979591836735
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165.839887715199
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
Ronald Burt
Bottom Center
Ronald Stuart Burt (born 1949) is an American sociologist and the Hobart W. Williams Professor of Sociology and Strategy at the University of Chicago Booth School of Business. He is most notable for his research and writing on social networks and social capital, particularly the concept of structural holes in a social network.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Ronald Burt
Article
Ronald Stuart Burt (born 1949) is an American sociologist and the Hobart W. Williams Professor of Sociology and Strategy at the University of Chicago Booth School of Business. He is most notable for his research and writing on social networks and social capital, particularly the concept of structural holes in a social network.
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100
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Image
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
social network graph
Bottom Center
A sociogram is a graphic representation of social links that a person has. It is a graph drawing that plots the structure of interpersonal relations in a group situation.
1
583.298828125
8202.466796875
1
0
0
0.004255
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79
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social network graph
Article
A sociogram is a graphic representation of social links that a person has. It is a graph drawing that plots the structure of interpersonal relations in a group situation.
0
2
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0
0
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100
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balance theory
Bottom Center
In the psychology of motivation, balance theory is a theory of attitude change, proposed by Fritz Heider. It conceptualizes the cognitive consistency motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time. Heider proposed that "sentiment" or liking relationships are balanced if the affect valence in a system multiplies out to a positive result.
In social network analysis, balance theory is the extension proposed by Frank Harary and Dorwin Cartwright. It was the framework for the discussion at a Dartmouth College symposium in September 1975.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/balance theory
Article
In the psychology of motivation, balance theory is a theory of attitude change, proposed by Fritz Heider. It conceptualizes the cognitive consistency motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time. Heider proposed that "sentiment" or liking relationships are balanced if the affect valence in a system multiplies out to a positive result.
In social network analysis, balance theory is the extension proposed by Frank Harary and Dorwin Cartwright. It was the framework for the discussion at a Dartmouth College symposium in September 1975.
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Image
416.192651561686
https://upload.wikimedia.org/wikipedia/commons/8/82/11-04-06-LSJUMB-003.jpg
Stanford University
Bottom Center
Leland Stanford Junior University (often referred to as Stanford University or simply Stanford) is an American private research university in Stanford, California. Stanford is known for its academic strength, wealth, proximity to Silicon Valley, and ranking as one of the world's top universities.The university was founded in 1885 by Leland and Jane Stanford in memory of their only child, Leland Stanford Jr., who had died of typhoid fever at age 15 the previous year. Stanford was a U.S. Senator and former Governor of California who made his fortune as a railroad tycoon. The school admitted its first students on October 1, 1891, as a coeducational and non-denominational institution.
Stanford University struggled financially after the death of Leland Stanford in 1893 and again after much of the campus was damaged by the 1906 San Francisco earthquake. Following World War II, Provost Frederick Terman supported faculty and graduates' entrepreneurialism to build self-sufficient local industry in what would later be known as Silicon Valley. The university is also one of the top fundraising institutions in the country, becoming the first school to raise more than a billion dollars in a year.The university is organized around three traditional schools consisting of 40 academic departments at the undergraduate and graduate level and four professional schools that focus on graduate programs in Law, Medicine, Education and Business. Stanford's undergraduate program is the most selective in the United States by acceptance rate. Students compete in 36 varsity sports, and the university is one of two private institutions in the Division I FBS Pac-12 Conference. It has gained 118 NCAA team championships, the most for a university. Stanford athletes have won 512 (the most) individual championships, and Stanford has won the NACDA Directors' Cup for 24 consecutive years, beginning in 1994–1995. In addition, Stanford students and alumni have won 270 Olympic medals including 139 gold medals.As of October 2018, 83 Nobel laureates, 27 Turing Award laureates, and 8 Fields Medalists have been affiliated with Stanford as students, alumni, faculty or staff. In addition, Stanford University is particularly noted for its entrepreneurship and is one of the most successful universities in attracting funding for start-ups. Stanford alumni have founded a large number of companies, which combined produce more than $2.7 trillion in annual revenue and have created 5.4 million jobs as of 2011, roughly equivalent to the 10th largest economy in the world (as of 2011). Stanford is the alma mater of 30 living billionaires and 17 astronauts, and is also one of the leading producers of members of the United States Congress.
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81
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Stanford University
Article
Leland Stanford Junior University (often referred to as Stanford University or simply Stanford) is an American private research university in Stanford, California. Stanford is known for its academic strength, wealth, proximity to Silicon Valley, and ranking as one of the world's top universities.The university was founded in 1885 by Leland and Jane Stanford in memory of their only child, Leland Stanford Jr., who had died of typhoid fever at age 15 the previous year. Stanford was a U.S. Senator and former Governor of California who made his fortune as a railroad tycoon. The school admitted its first students on October 1, 1891, as a coeducational and non-denominational institution.
Stanford University struggled financially after the death of Leland Stanford in 1893 and again after much of the campus was damaged by the 1906 San Francisco earthquake. Following World War II, Provost Frederick Terman supported faculty and graduates' entrepreneurialism to build self-sufficient local industry in what would later be known as Silicon Valley. The university is also one of the top fundraising institutions in the country, becoming the first school to raise more than a billion dollars in a year.The university is organized around three traditional schools consisting of 40 academic departments at the undergraduate and graduate level and four professional schools that focus on graduate programs in Law, Medicine, Education and Business. Stanford's undergraduate program is the most selective in the United States by acceptance rate. Students compete in 36 varsity sports, and the university is one of two private institutions in the Division I FBS Pac-12 Conference. It has gained 118 NCAA team championships, the most for a university. Stanford athletes have won 512 (the most) individual championships, and Stanford has won the NACDA Directors' Cup for 24 consecutive years, beginning in 1994–1995. In addition, Stanford students and alumni have won 270 Olympic medals including 139 gold medals.As of October 2018, 83 Nobel laureates, 27 Turing Award laureates, and 8 Fields Medalists have been affiliated with Stanford as students, alumni, faculty or staff. In addition, Stanford University is particularly noted for its entrepreneurship and is one of the most successful universities in attracting funding for start-ups. Stanford alumni have founded a large number of companies, which combined produce more than $2.7 trillion in annual revenue and have created 5.4 million jobs as of 2011, roughly equivalent to the 10th largest economy in the world (as of 2011). Stanford is the alma mater of 30 living billionaires and 17 astronauts, and is also one of the leading producers of members of the United States Congress.
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Image
150.999739878358
https://upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg
Psychological Review
Bottom Center
Psychological Review is a scientific journal that publishes articles on psychological theory. It was founded by Princeton University psychologist James Mark Baldwin and Columbia University psychologist James McKeen Cattell in 1894 as a publication vehicle for psychologists not connected with the Clark laboratory of G. Stanley Hall (who often published in Hall's American Journal of Psychology). Psychological Review soon became the most prominent and influential psychology journal in North America, publishing important articles by William James, John Dewey, James Rowland Angell, and many others.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Psychological Review
Article
Psychological Review is a scientific journal that publishes articles on psychological theory. It was founded by Princeton University psychologist James Mark Baldwin and Columbia University psychologist James McKeen Cattell in 1894 as a publication vehicle for psychologists not connected with the Clark laboratory of G. Stanley Hall (who often published in Hall's American Journal of Psychology). Psychological Review soon became the most prominent and influential psychology journal in North America, publishing important articles by William James, John Dewey, James Rowland Angell, and many others.
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Image
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Signed graph
Bottom Center
In the area of graph theory in mathematics, a signed graph is a graph in which each edge has a positive or negative sign.
A signed graph is balanced if the product of edge signs around every cycle is positive. Three fundamental questions about a signed graph are: Is it balanced? What is the largest size of a balanced edge set in it? What is the smallest number of vertices that must be deleted to make it balanced? The first question is easy to solve quickly; the second and third are computationally intractable (technically, they are NP-hard).
The name "signed graph" and the notion of balance appeared first in a mathematical paper of Frank Harary in 1953. Dénes Kőnig had already studied equivalent notions in 1936 under a different terminology but without recognizing the relevance of the sign group.
At the Center for Group Dynamics at the University of Michigan, Dorwin Cartwright and Harary generalized Fritz Heider's psychological theory of balance in triangles of sentiments to a psychological theory of balance in signed graphs.Signed graphs have been rediscovered many times because they come up naturally in many unrelated areas. For instance, they enable one to describe and analyze the geometry of subsets of the classical root systems. They appear in topological graph theory and group theory. They are a natural context for questions about odd and even cycles in graphs. They appear in computing the ground state energy in the non-ferromagnetic Ising model; for this one needs to find a largest balanced edge set in Σ. They have been applied to data classification in correlation clustering.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Signed graph
Article
In the area of graph theory in mathematics, a signed graph is a graph in which each edge has a positive or negative sign.
A signed graph is balanced if the product of edge signs around every cycle is positive. Three fundamental questions about a signed graph are: Is it balanced? What is the largest size of a balanced edge set in it? What is the smallest number of vertices that must be deleted to make it balanced? The first question is easy to solve quickly; the second and third are computationally intractable (technically, they are NP-hard).
The name "signed graph" and the notion of balance appeared first in a mathematical paper of Frank Harary in 1953. Dénes Kőnig had already studied equivalent notions in 1936 under a different terminology but without recognizing the relevance of the sign group.
At the Center for Group Dynamics at the University of Michigan, Dorwin Cartwright and Harary generalized Fritz Heider's psychological theory of balance in triangles of sentiments to a psychological theory of balance in signed graphs.Signed graphs have been rediscovered many times because they come up naturally in many unrelated areas. For instance, they enable one to describe and analyze the geometry of subsets of the classical root systems. They appear in topological graph theory and group theory. They are a natural context for questions about odd and even cycles in graphs. They appear in computing the ground state energy in the non-ferromagnetic Ising model; for this one needs to find a largest balanced edge set in Σ. They have been applied to data classification in correlation clustering.
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Structural cohesion
Bottom Center
Structural cohesion is the sociological conception of a useful formal definition and measure of cohesion in social groups. It is defined as the minimal number of actors in a social network that need to be removed to disconnect the group. It is thus identical to the question of the node connectivity of a given graph. The vertex-cut version of Menger's theorem also proves that the disconnection number is equivalent to a maximally sized group with a network in which every pair of persons has at least this number of separate paths between them. It is also useful to know that k-cohesive graphs (or k-components) are always a subgraph of a k-core, although a k-core is not always k-cohesive. A k-core is simply a subgraph in which all nodes have at least k neighbors but it need not even be connected. The boundaries of structural endogamy in a kinship group are a special case of structural cohesion.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Structural cohesion
Article
Structural cohesion is the sociological conception of a useful formal definition and measure of cohesion in social groups. It is defined as the minimal number of actors in a social network that need to be removed to disconnect the group. It is thus identical to the question of the node connectivity of a given graph. The vertex-cut version of Menger's theorem also proves that the disconnection number is equivalent to a maximally sized group with a network in which every pair of persons has at least this number of separate paths between them. It is also useful to know that k-cohesive graphs (or k-components) are always a subgraph of a k-core, although a k-core is not always k-cohesive. A k-core is simply a subgraph in which all nodes have at least k neighbors but it need not even be connected. The boundaries of structural endogamy in a kinship group are a special case of structural cohesion.
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https://upload.wikimedia.org/wikipedia/commons/0/0f/Clustering_coefficient_example.svg
Clustering coefficient
Bottom Center
In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established between two nodes (Holland and Leinhardt, 1971; Watts and Strogatz, 1998).
Two versions of this measure exist: the global and the local. The global version was designed to give an overall indication of the clustering in the network, whereas the local gives an indication of the embeddedness of single nodes.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Clustering coefficient
Article
In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established between two nodes (Holland and Leinhardt, 1971; Watts and Strogatz, 1998).
Two versions of this measure exist: the global and the local. The global version was designed to give an overall indication of the clustering in the network, whereas the local gives an indication of the embeddedness of single nodes.
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social circle
Bottom Center
In the social sciences, a social group can be defined as two or more people who interact with one another, share similar characteristics, and collectively have a sense of unity. Other theorists disagree however, and are wary of definitions which stress the importance of interdependence or objective similarity. Instead, researchers within the social identity tradition generally define it as "a group is defined in terms of those who identify themselves as members of the group". Regardless, social groups come in a myriad of sizes and varieties. For example, a society can be viewed as a large social group.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social circle
Article
In the social sciences, a social group can be defined as two or more people who interact with one another, share similar characteristics, and collectively have a sense of unity. Other theorists disagree however, and are wary of definitions which stress the importance of interdependence or objective similarity. Instead, researchers within the social identity tradition generally define it as "a group is defined in terms of those who identify themselves as members of the group". Regardless, social groups come in a myriad of sizes and varieties. For example, a society can be viewed as a large social group.
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clique
Bottom Center
A clique (AusE, CanE, UK: or US: ), in the social sciences, is a group of individuals who interact with one another and share similar interests. Interacting with cliques is part of normative social development regardless of gender, ethnicity or popularity. Although cliques are most commonly studied during adolescence and middle childhood development, they exist in all age groups. They are often bound together by shared social characteristics such as ethnicity and socioeconomic status. Examples of common or stereotypical adolescent cliques include athletes, nerds, and "outsiders".Typically, people in a clique will not have a completely open friend group, and can therefore "ban" members if they do something considered unacceptable, such as talking to someone disliked. Some cliques tend to isolate themselves as a group view themselves as superior to others.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/clique
Article
A clique (AusE, CanE, UK: or US: ), in the social sciences, is a group of individuals who interact with one another and share similar interests. Interacting with cliques is part of normative social development regardless of gender, ethnicity or popularity. Although cliques are most commonly studied during adolescence and middle childhood development, they exist in all age groups. They are often bound together by shared social characteristics such as ethnicity and socioeconomic status. Examples of common or stereotypical adolescent cliques include athletes, nerds, and "outsiders".Typically, people in a clique will not have a completely open friend group, and can therefore "ban" members if they do something considered unacceptable, such as talking to someone disliked. Some cliques tend to isolate themselves as a group view themselves as superior to others.
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Homophily
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Homophily from Ancient Greek ὁμοῦ (homou, "together") and Greek φιλία (philia, "friendship") is the tendency of individuals to associate and bond with similar others, as in the proverb "birds of a feather flock together". The presence of homophily has been discovered in a vast array of network studies. More than 100 studies that have observed homophily in some form or another and they establish that similarity breeds connection. These include age, gender, class, and organizational role.Individuals in homophilic relationships share common characteristics (beliefs, values, education, etc.) that make communication and relationship formation easier. The opposite of homophily is heterophily or intermingling.
Homophily between mated pairs in animals has been extensively studied in the field of evolutionary biology in which it is known as assortative mating. Homophily between mated pairs is common within natural animal mating populations.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Homophily
Article
Homophily from Ancient Greek ὁμοῦ (homou, "together") and Greek φιλία (philia, "friendship") is the tendency of individuals to associate and bond with similar others, as in the proverb "birds of a feather flock together". The presence of homophily has been discovered in a vast array of network studies. More than 100 studies that have observed homophily in some form or another and they establish that similarity breeds connection. These include age, gender, class, and organizational role.Individuals in homophilic relationships share common characteristics (beliefs, values, education, etc.) that make communication and relationship formation easier. The opposite of homophily is heterophily or intermingling.
Homophily between mated pairs in animals has been extensively studied in the field of evolutionary biology in which it is known as assortative mating. Homophily between mated pairs is common within natural animal mating populations.
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https://upload.wikimedia.org/wikipedia/commons/7/71/Symbol_redirect_arrow_with_gradient.svg
entrepreneur
Bottom Center
Entrepreneurship is the process of designing, launching and running a new business, which is often initially a small business. The people who create these businesses are called entrepreneurs.Entrepreneurship has been described as the "capacity and willingness to develop, organize and manage a business venture along with any of its risks in order to make a profit". While definitions of entrepreneurship typically focus on the launching and running of businesses, due to the high risks involved in launching a start-up, a significant proportion of start-up businesses have to close due to "lack of funding, bad business decisions, an economic crisis, lack of market demand—or a combination of all of these.A broader definition of the term is sometimes used, especially in the field of economics. In this usage, an Entrepreneur is an entity which has the ability to find and act upon opportunities to translate inventions or technology into new products: "The entrepreneur is able to recognize the commercial potential of the invention and organize the capital, talent, and other resources that turn an invention into a commercially viable innovation." In this sense, the term "Entrepreneurship" also captures innovative activities on the part of established firms, in addition to similar activities on the part of new businesses.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/entrepreneur
Article
Entrepreneurship is the process of designing, launching and running a new business, which is often initially a small business. The people who create these businesses are called entrepreneurs.Entrepreneurship has been described as the "capacity and willingness to develop, organize and manage a business venture along with any of its risks in order to make a profit". While definitions of entrepreneurship typically focus on the launching and running of businesses, due to the high risks involved in launching a start-up, a significant proportion of start-up businesses have to close due to "lack of funding, bad business decisions, an economic crisis, lack of market demand—or a combination of all of these.A broader definition of the term is sometimes used, especially in the field of economics. In this usage, an Entrepreneur is an entity which has the ability to find and act upon opportunities to translate inventions or technology into new products: "The entrepreneur is able to recognize the commercial potential of the invention and organize the capital, talent, and other resources that turn an invention into a commercially viable innovation." In this sense, the term "Entrepreneurship" also captures innovative activities on the part of established firms, in addition to similar activities on the part of new businesses.
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small world experiment
Bottom Center
The small-world experiment comprised several experiments conducted by Stanley Milgram and other researchers examining the average path length for social networks of people in the United States. The research was groundbreaking in that it suggested that human society is a small-world-type network characterized by short path-lengths. The experiments are often associated with the phrase "six degrees of separation", although Milgram did not use this term himself.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/small world experiment
Article
The small-world experiment comprised several experiments conducted by Stanley Milgram and other researchers examining the average path length for social networks of people in the United States. The research was groundbreaking in that it suggested that human society is a small-world-type network characterized by short path-lengths. The experiments are often associated with the phrase "six degrees of separation", although Milgram did not use this term himself.
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Department of the Army
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The Department of the Army (DA) is one of the three military departments within the Department of Defense of the United States of America. The Department of the Army is the Federal Government agency within which the United States Army is organized, and it is led by the Secretary of the Army, who has statutory authority under 10 U.S.C. § 3013 to conduct its affairs and to prescribe regulations for its government, subject to the limits of the law, and the directions of the Secretary of Defense and the President.
The Secretary of the Army is a civilian official appointed by the President and confirmed by the Senate. The highest-ranking military officer in the department is the Chief of Staff of the Army, who is also a member of the Joint Chiefs of Staff. Other senior officials of the Department are the Under Secretary of the Army (principal deputy to the Secretary) and the Vice Chief of Staff of the Army (principal deputy to the Chief of Staff.)
The Department of War was originally formed in 1789 as an Executive Department of the United States, and was split by the National Security Act of 1947 into the Department of the Army and Department of the Air Force on September 18, 1947. By amendments to the National Security Act of 1947 in 1949, the Department of the Army was transformed to its present-day status.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Department of the Army
Article
The Department of the Army (DA) is one of the three military departments within the Department of Defense of the United States of America. The Department of the Army is the Federal Government agency within which the United States Army is organized, and it is led by the Secretary of the Army, who has statutory authority under 10 U.S.C. § 3013 to conduct its affairs and to prescribe regulations for its government, subject to the limits of the law, and the directions of the Secretary of Defense and the President.
The Secretary of the Army is a civilian official appointed by the President and confirmed by the Senate. The highest-ranking military officer in the department is the Chief of Staff of the Army, who is also a member of the Joint Chiefs of Staff. Other senior officials of the Department are the Under Secretary of the Army (principal deputy to the Secretary) and the Vice Chief of Staff of the Army (principal deputy to the Chief of Staff.)
The Department of War was originally formed in 1789 as an Executive Department of the United States, and was split by the National Security Act of 1947 into the Department of the Army and Department of the Air Force on September 18, 1947. By amendments to the National Security Act of 1947 in 1949, the Department of the Army was transformed to its present-day status.
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degree centrality
Bottom Center
In graph theory and network analysis, indicators of centrality identify the most important vertices within a graph. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, and super-spreaders of disease. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.
They should not be confused with node influence metrics, which seek to quantify the influence of every node in the network.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/degree centrality
Article
In graph theory and network analysis, indicators of centrality identify the most important vertices within a graph. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, and super-spreaders of disease. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin.
They should not be confused with node influence metrics, which seek to quantify the influence of every node in the network.
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240.421388554232
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
eigenvector centrality
Bottom Center
In graph theory, eigenvector centrality (also called eigencentrality) is a measure of the influence of a node in a network. Relative scores are assigned to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to low-scoring nodes. A high eigenvector score means that a node is connected to many nodes who themselves have high scores.
Google's PageRank and the Katz centrality are variants of the eigenvector centrality.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/eigenvector centrality
Article
In graph theory, eigenvector centrality (also called eigencentrality) is a measure of the influence of a node in a network. Relative scores are assigned to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to low-scoring nodes. A high eigenvector score means that a node is connected to many nodes who themselves have high scores.
Google's PageRank and the Katz centrality are variants of the eigenvector centrality.
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100
87
Image
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
alpha centrality
Bottom Center
In graph theory and social network analysis, alpha centrality is a measure of centrality of nodes within a graph. It is an adaptation of eigenvector centrality with the addition that nodes are imbued with importance from external sources.
1
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/alpha centrality
Article
In graph theory and social network analysis, alpha centrality is a measure of centrality of nodes within a graph. It is an adaptation of eigenvector centrality with the addition that nodes are imbued with importance from external sources.
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150.999739878358
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
closeness centrality
Bottom Center
In a connected graph, closeness centrality (or closeness) of a node is a measure of centrality in a network, calculated as the reciprocal of the sum of the length of the shortest paths between the node and all other nodes in the graph. Thus, the more central a node is, the closer it is to all other nodes.
Closeness was defined by Bavelas (1950) as the reciprocal of the farness, that is:
C
(
x
)
=
1
∑
y
d
(
y
,
x
)
.
{\displaystyle C(x)={\frac {1}{\sum _{y}d(y,x)}}.}
where
d
(
y
,
x
)
{\displaystyle d(y,x)}
is the distance between vertices
x
{\displaystyle x}
and
y
{\displaystyle y}
. When speaking of closeness centrality, people usually refer to its normalized form which represents the average length of the shortest paths instead of their sum. It is generally given by the previous formula multiplied by
N
−
1
{\displaystyle N-1}
, where
N
{\displaystyle N}
is the number of nodes in the graph. For large graphs this difference becomes inconsequential so the
−
1
{\displaystyle -1}
is dropped resulting in:
C
(
x
)
=
N
∑
y
d
(
y
,
x
)
.
{\displaystyle C(x)={\frac {N}{\sum _{y}d(y,x)}}.}
This adjustment allows comparisons between nodes of graphs of different sizes.
Taking distances from or to all other nodes is irrelevant in undirected graphs, whereas it can produce totally different results in directed graphs (e.g. a website can have a high closeness centrality from outgoing link, but low closeness centrality from incoming links).
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4344.34521484375
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95
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/closeness centrality
Article
In a connected graph, closeness centrality (or closeness) of a node is a measure of centrality in a network, calculated as the reciprocal of the sum of the length of the shortest paths between the node and all other nodes in the graph. Thus, the more central a node is, the closer it is to all other nodes.
Closeness was defined by Bavelas (1950) as the reciprocal of the farness, that is:
C
(
x
)
=
1
∑
y
d
(
y
,
x
)
.
{\displaystyle C(x)={\frac {1}{\sum _{y}d(y,x)}}.}
where
d
(
y
,
x
)
{\displaystyle d(y,x)}
is the distance between vertices
x
{\displaystyle x}
and
y
{\displaystyle y}
. When speaking of closeness centrality, people usually refer to its normalized form which represents the average length of the shortest paths instead of their sum. It is generally given by the previous formula multiplied by
N
−
1
{\displaystyle N-1}
, where
N
{\displaystyle N}
is the number of nodes in the graph. For large graphs this difference becomes inconsequential so the
−
1
{\displaystyle -1}
is dropped resulting in:
C
(
x
)
=
N
∑
y
d
(
y
,
x
)
.
{\displaystyle C(x)={\frac {N}{\sum _{y}d(y,x)}}.}
This adjustment allows comparisons between nodes of graphs of different sizes.
Taking distances from or to all other nodes is irrelevant in undirected graphs, whereas it can produce totally different results in directed graphs (e.g. a website can have a high closeness centrality from outgoing link, but low closeness centrality from incoming links).
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0.8
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248
99.2
250
Image
https://upload.wikimedia.org/wikipedia/commons/6/62/Euler_diagram_used_to_represent_the_propinquity_effect.svg
Propinquity
Bottom Center
In social psychology, propinquity (; from Latin propinquitas, "nearness") is one of the main factors leading to interpersonal attraction.
It refers to the physical or psychological proximity between people. Propinquity can mean physical proximity, a kinship between people, or a similarity in nature between things ("like-attracts-like"). Two people living on the same floor of a building, for example, have a higher propinquity than those living on different floors, just as two people with similar political beliefs possess a higher propinquity than those whose beliefs strongly differ. Propinquity is also one of the factors, set out by Jeremy Bentham, used to measure the amount of (utilitarian) pleasure in a method known as felicific calculus.
1
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0.5
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96
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/Propinquity
Article
In social psychology, propinquity (; from Latin propinquitas, "nearness") is one of the main factors leading to interpersonal attraction.
It refers to the physical or psychological proximity between people. Propinquity can mean physical proximity, a kinship between people, or a similarity in nature between things ("like-attracts-like"). Two people living on the same floor of a building, for example, have a higher propinquity than those living on different floors, just as two people with similar political beliefs possess a higher propinquity than those whose beliefs strongly differ. Propinquity is also one of the factors, set out by Jeremy Bentham, used to measure the amount of (utilitarian) pleasure in a method known as felicific calculus.
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Image
299.50905731786
https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/1024px-Wikipedia-logo-v2.svg.png
social networks
Bottom Center
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.
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97
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/social networks
Article
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.
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1.44927536231884
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0.966183574879227
0
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202
97.5845410628019
207
Image
240.421388554232
https://upload.wikimedia.org/wikipedia/commons/a/af/1080_Poisoning_Scare_At_New_World_in_Wellington.jpeg
terrorism
Bottom Center
Terrorism is, in the broadest sense, the use of intentionally indiscriminate violence as a means to create terror among masses of people; or fear to achieve a religious or political aim. It is used in this regard primarily to refer to violence during peacetime or in war against non-combatants. The terms "terrorist" and "terrorism" originated during the French Revolution of the late 18th century but gained mainstream popularity in the 1970s in news reports and books covering the conflicts in Northern Ireland, the Basque Country and Palestine. The increased use of suicide attacks from the 1980s onwards was typified by the September 11 attacks in New York and at the Pentagon in 2001.
There is no commonly accepted definition of "terrorism". Being a charged term, with the connotation of something "morally wrong", it is often used, both by governments and non-state groups, to abuse or denounce opposing groups. Broad categories of political organisations have been claimed to have been involved in terrorism to further their objectives, including right-wing and left-wing political organisations, nationalist groups, religious groups, revolutionaries and ruling governments. Terrorism-related legislation has been adopted in various states, regarding "terrorism" as a crime. There is no universal agreement as to whether or not "terrorism", in some definition, should be regarded as a war crime.According to the Global Terrorism Database maintained by the University of Maryland, College Park, more than 61,000 incidents of non-state terrorism, resulting in at least 140,000 deaths, were recorded between 2000 and 2014.
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3405.34814453125
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98
Open Wiki Page for This Article
http://en.wikipedia.org/wiki/terrorism
Article
Terrorism is, in the broadest sense, the use of intentionally indiscriminate violence as a means to create terror among masses of people; or fear to achieve a religious or political aim. It is used in this regard primarily to refer to violence during peacetime or in war against non-combatants. The terms "terrorist" and "terrorism" originated during the French Revolution of the late 18th century but gained mainstream popularity in the 1970s in news reports and books covering the conflicts in Northern Ireland, the Basque Country and Palestine. The increased use of suicide attacks from the 1980s onwards was typified by the September 11 attacks in New York and at the Pentagon in 2001.
There is no commonly accepted definition of "terrorism". Being a charged term, with the connotation of something "morally wrong", it is often used, both by governments and non-state groups, to abuse or denounce opposing groups. Broad categories of political organisations have been claimed to have been involved in terrorism to further their objectives, including right-wing and left-wing political organisations, nationalist groups, religious groups, revolutionaries and ruling governments. Terrorism-related legislation has been adopted in various states, regarding "terrorism" as a crime. There is no universal agreement as to whether or not "terrorism", in some definition, should be regarded as a war crime.According to the Global Terrorism Database maintained by the University of Maryland, College Park, more than 61,000 incidents of non-state terrorism, resulting in at least 140,000 deaths, were recorded between 2000 and 2014.
0.3686198
500
1
3
1.17647058823529
21
8.23529411764706
0
0
231
90.5882352941177
255
Image
329.842955835047
https://upload.wikimedia.org/wikipedia/commons/e/e1/9-11_Wall_segment.jpg
September 11 attacks
Bottom Center
The September 11 attacks (also referred to as 9/11) were a series of four coordinated terrorist attacks by the Islamic terrorist group al-Qaeda against the United States on the morning of Tuesday, September 11, 2001. The attacks killed 2,996 people, injured over 6,000 others, and caused at least $10 billion in infrastructure and property damage. Additional people died of 9/11-related cancer and respiratory diseases in the months and years following the attacks.
Four passenger airliners operated by two major U.S. passenger air carriers (United Airlines and American Airlines)—all of which departed from airports in the northeastern United States bound for California—were hijacked by 19 al-Qaeda terrorists. Two of the planes, American Airlines Flight 11 and United Airlines Flight 175, were crashed into the North and South towers, respectively, of the World Trade Center complex in Lower Manhattan. Within an hour and 42 minutes, both 110-story towers collapsed. Debris and the resulting fires caused a partial or complete collapse of all other buildings in the World Trade Center complex, including the 47-story 7 World Trade Center tower, as well as significant damage to ten other large surrounding structures. A third plane, American Airlines Flight 77, was crashed into the Pentagon (the headquarters of the U.S. Department of Defense) in Arlington County, Virginia, which led to a partial collapse of the building's west side. The fourth plane, United Airlines Flight 93, was initially flown toward Washington, D.C., but crashed into a field in Stonycreek Township near Shanksville, Pennsylvania, after its passengers thwarted the hijackers. 9/11 is the single deadliest terrorist attack in human history and the single deadliest incident for firefighters and law enforcement officers in the history of the United States, with 343 and 72 killed, respectively.
Suspicion quickly fell on al-Qaeda. The United States responded by launching the War on Terror and invaded Afghanistan to depose the Taliban, which had failed to comply with U.S. demands to extradite Osama bin Laden and expel al-Qaeda from Afghanistan. Many countries strengthened their anti-terrorism legislation and expanded the powers of law enforcement and intelligence agencies to prevent terrorist attacks. Although Osama bin Laden, al-Qaeda's leader, initially denied any involvement, in 2004 he claimed responsibility for the attacks. Al-Qaeda and bin Laden cited U.S. support of Israel, the presence of U.S. troops in Saudi Arabia, and sanctions against Iraq as motives. After evading capture for almost a decade, bin Laden was located in Pakistan and killed by SEAL Team Six of the U.S. Navy in May 2011.
The destruction of the World Trade Center and nearby infrastructure seriously harmed the economy of Lower Manhattan and had a significant effect on global markets, which resulted in the closing of Wall Street until September 17 and the civilian airspace in the U.S. and Canada until September 13. Many closings, evacuations, and cancellations followed, out of respect or fear of further attacks. Cleanup of the World Trade Center site was completed in May 2002, and the Pentagon was repaired within a year. On November 18, 2006, construction of One World Trade Center began at the World Trade Center site. The building was officially opened on November 3, 2014. Numerous memorials have been constructed, including the National September 11 Memorial & Museum in New York City, the Pentagon Memorial in Arlington County, Virginia, and the Flight 93 National Memorial in a field in Stonycreek Township near Shanksville, Pennsylvania.
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Open Wiki Page for This Article
http://en.wikipedia.org/wiki/September 11 attacks
Article
The September 11 attacks (also referred to as 9/11) were a series of four coordinated terrorist attacks by the Islamic terrorist group al-Qaeda against the United States on the morning of Tuesday, September 11, 2001. The attacks killed 2,996 people, injured over 6,000 others, and caused at least $10 billion in infrastructure and property damage. Additional people died of 9/11-related cancer and respiratory diseases in the months and years following the attacks.
Four passenger airliners operated by two major U.S. passenger air carriers (United Airlines and American Airlines)—all of which departed from airports in the northeastern United States bound for California—were hijacked by 19 al-Qaeda terrorists. Two of the planes, American Airlines Flight 11 and United Airlines Flight 175, were crashed into the North and South towers, respectively, of the World Trade Center complex in Lower Manhattan. Within an hour and 42 minutes, both 110-story towers collapsed. Debris and the resulting fires caused a partial or complete collapse of all other buildings in the World Trade Center complex, including the 47-story 7 World Trade Center tower, as well as significant damage to ten other large surrounding structures. A third plane, American Airlines Flight 77, was crashed into the Pentagon (the headquarters of the U.S. Department of Defense) in Arlington County, Virginia, which led to a partial collapse of the building's west side. The fourth plane, United Airlines Flight 93, was initially flown toward Washington, D.C., but crashed into a field in Stonycreek Township near Shanksville, Pennsylvania, after its passengers thwarted the hijackers. 9/11 is the single deadliest terrorist attack in human history and the single deadliest incident for firefighters and law enforcement officers in the history of the United States, with 343 and 72 killed, respectively.
Suspicion quickly fell on al-Qaeda. The United States responded by launching the War on Terror and invaded Afghanistan to depose the Taliban, which had failed to comply with U.S. demands to extradite Osama bin Laden and expel al-Qaeda from Afghanistan. Many countries strengthened their anti-terrorism legislation and expanded the powers of law enforcement and intelligence agencies to prevent terrorist attacks. Although Osama bin Laden, al-Qaeda's leader, initially denied any involvement, in 2004 he claimed responsibility for the attacks. Al-Qaeda and bin Laden cited U.S. support of Israel, the presence of U.S. troops in Saudi Arabia, and sanctions against Iraq as motives. After evading capture for almost a decade, bin Laden was located in Pakistan and killed by SEAL Team Six of the U.S. Navy in May 2011.
The destruction of the World Trade Center and nearby infrastructure seriously harmed the economy of Lower Manhattan and had a significant effect on global markets, which resulted in the closing of Wall Street until September 17 and the civilian airspace in the U.S. and Canada until September 13. Many closings, evacuations, and cancellations followed, out of respect or fear of further attacks. Cleanup of the World Trade Center site was completed in May 2002, and the Pentagon was repaired within a year. On November 18, 2006, construction of One World Trade Center began at the World Trade Center site. The building was officially opened on November 3, 2014. Numerous memorials have been constructed, including the National September 11 Memorial & Museum in New York City, the Pentagon Memorial in Arlington County, Virginia, and the Flight 93 National Memorial in a field in Stonycreek Township near Shanksville, Pennsylvania.
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money laundering
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Money laundering is the process of concealing the origins of money obtained illegally by passing it through a complex sequence of banking transfers or commercial transactions.One problem of criminal activities is accounting for the proceeds without raising the suspicion of law enforcement agencies. Considerable time and effort may be put into strategies which enable the safe use of those proceeds without raising unwanted suspicion. Implementing such strategies is generally called money laundering. After money has been laundered it can be used for legitimate purposes. Law enforcement agencies of many jurisdictions have set up sophisticated systems in an effort to detect suspicious transactions or activities, and many have set up international cooperative arrangements to assist each other in these endeavors.
In a number of legal and regulatory systems, the term "money laundering" has become conflated with other forms of financial and business crime, and is sometimes used more generally to include misuse of the financial system (involving things such as securities, digital currencies, credit cards, and traditional currency), including terrorism financing and evasion of international sanctions. Most anti-money laundering laws openly conflate money laundering (which is concerned with source of funds) with terrorism financing (which is concerned with destination of funds) when regulating the financial system.Some countries treat obfuscation of sources of money as also constituting money laundering, whether it is intentional or by merely using financial systems or services that do not identify or track sources or destinations. Other countries define money laundering in such a way as to include money from activity that would have been a crime in that country, even if the activity was legal where the actual conduct occurred.
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Money laundering is the process of concealing the origins of money obtained illegally by passing it through a complex sequence of banking transfers or commercial transactions.One problem of criminal activities is accounting for the proceeds without raising the suspicion of law enforcement agencies. Considerable time and effort may be put into strategies which enable the safe use of those proceeds without raising unwanted suspicion. Implementing such strategies is generally called money laundering. After money has been laundered it can be used for legitimate purposes. Law enforcement agencies of many jurisdictions have set up sophisticated systems in an effort to detect suspicious transactions or activities, and many have set up international cooperative arrangements to assist each other in these endeavors.
In a number of legal and regulatory systems, the term "money laundering" has become conflated with other forms of financial and business crime, and is sometimes used more generally to include misuse of the financial system (involving things such as securities, digital currencies, credit cards, and traditional currency), including terrorism financing and evasion of international sanctions. Most anti-money laundering laws openly conflate money laundering (which is concerned with source of funds) with terrorism financing (which is concerned with destination of funds) when regulating the financial system.Some countries treat obfuscation of sources of money as also constituting money laundering, whether it is intentional or by merely using financial systems or services that do not identify or track sources or destinations. Other countries define money laundering in such a way as to include money from activity that would have been a crime in that country, even if the activity was legal where the actual conduct occurred.
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Wikipedia:Spam
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There are three main types of spam on Wikipedia. These are: advertisements masquerading as articles and contributions to articles; external link spamming; and adding references with the aim of promoting the author or the work being referenced.
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There are three main types of spam on Wikipedia. These are: advertisements masquerading as articles and contributions to articles; external link spamming; and adding references with the aim of promoting the author or the work being referenced.
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Wikipedia:External links
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Wikipedia articles may include links to web pages outside Wikipedia (external links), but they should not normally be placed in the body of an article. All external links must conform to certain formatting restrictions.
Some acceptable links include those that contain further research that is accurate and on-topic, information that could not be added to the article for reasons such as copyright or amount of detail, or other meaningful, relevant content that is not suitable for inclusion in an article for reasons unrelated to its accuracy.
Some external links are welcome (see § What can normally be linked), but it is not Wikipedia's purpose to include a lengthy or comprehensive list of external links related to each topic. No page should be linked from a Wikipedia article unless its inclusion is justifiable according to this guideline and common sense. The burden of providing this justification is on the person who wants to include an external link.
Besides those kinds of links listed in § Restrictions on linking, these external-link guidelines do not apply to citations to reliable sources within the body of the article.
If the website or page to which you want to link includes information that is not yet a part of the article, consider using it as a source for the article, and citing it. Guidelines for sourcing, which include external links used as citations, are discussed at Wikipedia:Reliable sources and Wikipedia:Citing sources.
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Wikipedia articles may include links to web pages outside Wikipedia (external links), but they should not normally be placed in the body of an article. All external links must conform to certain formatting restrictions.
Some acceptable links include those that contain further research that is accurate and on-topic, information that could not be added to the article for reasons such as copyright or amount of detail, or other meaningful, relevant content that is not suitable for inclusion in an article for reasons unrelated to its accuracy.
Some external links are welcome (see § What can normally be linked), but it is not Wikipedia's purpose to include a lengthy or comprehensive list of external links related to each topic. No page should be linked from a Wikipedia article unless its inclusion is justifiable according to this guideline and common sense. The burden of providing this justification is on the person who wants to include an external link.
Besides those kinds of links listed in § Restrictions on linking, these external-link guidelines do not apply to citations to reliable sources within the body of the article.
If the website or page to which you want to link includes information that is not yet a part of the article, consider using it as a source for the article, and citing it. Guidelines for sourcing, which include external links used as citations, are discussed at Wikipedia:Reliable sources and Wikipedia:Citing sources.
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Douglas R. White
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Douglas R. White (born 1942) is an American complexity researcher, social anthropologist, sociologist, and social network researcher at the University of California, Irvine.
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Douglas R. White (born 1942) is an American complexity researcher, social anthropologist, sociologist, and social network researcher at the University of California, Irvine.
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kinship
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In anthropology, kinship is the web of social relationships that form an important part of the lives of all humans in all societies, although its exact meanings even within this discipline are often debated. Anthropologist Robin Fox states that "the study of kinship is the study of what man does with these basic facts of life – mating, gestation, parenthood, socialization, siblingship etc." Human society is unique, he argues, in that we are "working with the same raw material as exists in the animal world, but [we] can conceptualize and categorize it to serve social ends." These social ends include the socialization of children and the formation of basic economic, political and religious groups.
Kinship can refer both to the patterns of social relationships themselves, or it can refer to the study of the patterns of social relationships in one or more human cultures (i.e. kinship studies). Over its history, anthropology has developed a number of related concepts and terms in the study of kinship, such as descent, descent group, lineage, affinity/affine, consanguinity/cognate and fictive kinship. Further, even within these two broad usages of the term, there are different theoretical approaches.
Broadly, kinship patterns may be considered to include people related by both descent – i.e. social relations during development – and by marriage. Human kinship relations through marriage are commonly called "affinity" in contrast to the relationships that arise in one's group of origin, which may be called one's descent group. In some cultures, kinship relationships may be considered to extend out to people an individual has economic or political relationships with, or other forms of social connections. Within a culture, some descent groups may be considered to lead back to gods or animal ancestors (totems). This may be conceived of on a more or less literal basis.
Kinship can also refer to a principle by which individuals or groups of individuals are organized into social groups, roles, categories and genealogy by means of kinship terminologies. Family relations can be represented concretely (mother, brother, grandfather) or abstractly by degrees of relationship (kinship distance). A relationship may be relative (e.g. a father in relation to a child) or reflect an absolute (e.g. the difference between a mother and a childless woman). Degrees of relationship are not identical to heirship or legal succession. Many codes of ethics consider the bond of kinship as creating obligations between the related persons stronger than those between strangers, as in Confucian filial piety.
In a more general sense, kinship may refer to a similarity or affinity between entities on the basis of some or all of their characteristics that are under focus. This may be due to a shared ontological origin, a shared historical or cultural connection, or some other perceived shared features that connect the two entities. For example, a person studying the ontological roots of human languages (etymology) might ask whether there is kinship between the English word seven and the German word sieben. It can be used in a more diffuse sense as in, for example, the news headline "Madonna feels kinship with vilified Wallis Simpson", to imply a felt similarity or empathy between two or more entities.
In biology, "kinship" typically refers to the degree of genetic relatedness or coefficient of relationship between individual members of a species (e.g. as in kin selection theory). It may also be used in this specific sense when applied to human relationships, in which case its meaning is closer to consanguinity or genealogy.
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Article
In anthropology, kinship is the web of social relationships that form an important part of the lives of all humans in all societies, although its exact meanings even within this discipline are often debated. Anthropologist Robin Fox states that "the study of kinship is the study of what man does with these basic facts of life – mating, gestation, parenthood, socialization, siblingship etc." Human society is unique, he argues, in that we are "working with the same raw material as exists in the animal world, but [we] can conceptualize and categorize it to serve social ends." These social ends include the socialization of children and the formation of basic economic, political and religious groups.
Kinship can refer both to the patterns of social relationships themselves, or it can refer to the study of the patterns of social relationships in one or more human cultures (i.e. kinship studies). Over its history, anthropology has developed a number of related concepts and terms in the study of kinship, such as descent, descent group, lineage, affinity/affine, consanguinity/cognate and fictive kinship. Further, even within these two broad usages of the term, there are different theoretical approaches.
Broadly, kinship patterns may be considered to include people related by both descent – i.e. social relations during development – and by marriage. Human kinship relations through marriage are commonly called "affinity" in contrast to the relationships that arise in one's group of origin, which may be called one's descent group. In some cultures, kinship relationships may be considered to extend out to people an individual has economic or political relationships with, or other forms of social connections. Within a culture, some descent groups may be considered to lead back to gods or animal ancestors (totems). This may be conceived of on a more or less literal basis.
Kinship can also refer to a principle by which individuals or groups of individuals are organized into social groups, roles, categories and genealogy by means of kinship terminologies. Family relations can be represented concretely (mother, brother, grandfather) or abstractly by degrees of relationship (kinship distance). A relationship may be relative (e.g. a father in relation to a child) or reflect an absolute (e.g. the difference between a mother and a childless woman). Degrees of relationship are not identical to heirship or legal succession. Many codes of ethics consider the bond of kinship as creating obligations between the related persons stronger than those between strangers, as in Confucian filial piety.
In a more general sense, kinship may refer to a similarity or affinity between entities on the basis of some or all of their characteristics that are under focus. This may be due to a shared ontological origin, a shared historical or cultural connection, or some other perceived shared features that connect the two entities. For example, a person studying the ontological roots of human languages (etymology) might ask whether there is kinship between the English word seven and the German word sieben. It can be used in a more diffuse sense as in, for example, the news headline "Madonna feels kinship with vilified Wallis Simpson", to imply a felt similarity or empathy between two or more entities.
In biology, "kinship" typically refers to the degree of genetic relatedness or coefficient of relationship between individual members of a species (e.g. as in kin selection theory). It may also be used in this specific sense when applied to human relationships, in which case its meaning is closer to consanguinity or genealogy.
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Edward Laumann
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Edward Otto Laumann (born August 31, 1938) is an American sociologist. He is the George Herbert Mead Distinguished Service Professor in the Department of Sociology at the University of Chicago. Laumann earned his Ph.D. in the Harvard Department of Social Relations in 1964, where he studied under George Homans, Talcott Parsons, and Harrison White. He has written extensively on social stratification, urban sociology, organizational sociology, health and aging, and is widely recognized as a pioneer in the areas of social network analysis and the sociology of sexuality. In 2013, he was elected to the American Academy of Arts & Sciences.
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Edward Otto Laumann (born August 31, 1938) is an American sociologist. He is the George Herbert Mead Distinguished Service Professor in the Department of Sociology at the University of Chicago. Laumann earned his Ph.D. in the Harvard Department of Social Relations in 1964, where he studied under George Homans, Talcott Parsons, and Harrison White. He has written extensively on social stratification, urban sociology, organizational sociology, health and aging, and is widely recognized as a pioneer in the areas of social network analysis and the sociology of sexuality. In 2013, he was elected to the American Academy of Arts & Sciences.
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David Krackhardt
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David Krackhardt is Professor of Organizations at Heinz College and the Tepper School of Business, with courtesy appointments in the Department of Social and Decision Sciences (Dietrich College of Humanities and Social Sciences) and the Machine Learning Department (School of Computer Science), all at Carnegie Mellon University in the United States, and he also serves a Fellow of CEDEP, the European Centre for Executive Education, in France. He is notable for being the author of KrackPlot, a network visualization software designed for social network analysis which is widely used in academic research. He is also the founder of the Journal of Social Structure.
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David Krackhardt is Professor of Organizations at Heinz College and the Tepper School of Business, with courtesy appointments in the Department of Social and Decision Sciences (Dietrich College of Humanities and Social Sciences) and the Machine Learning Department (School of Computer Science), all at Carnegie Mellon University in the United States, and he also serves a Fellow of CEDEP, the European Centre for Executive Education, in France. He is notable for being the author of KrackPlot, a network visualization software designed for social network analysis which is widely used in academic research. He is also the founder of the Journal of Social Structure.
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Kathleen Carley
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Kathleen M. Carley is an American social scientist specializing in dynamic network analysis. She is a professor in the School of Computer Science in the Institute for Software Research International at Carnegie Mellon University and also holds appointments in the Tepper School of Business, the Heinz College, the Department of Engineering and Public Policy, and the Department of Social and Decision Sciences.
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Kathleen M. Carley is an American social scientist specializing in dynamic network analysis. She is a professor in the School of Computer Science in the Institute for Software Research International at Carnegie Mellon University and also holds appointments in the Tepper School of Business, the Heinz College, the Department of Engineering and Public Policy, and the Department of Social and Decision Sciences.
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organizational studies
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Organizational studies is "the examination of how individuals construct organizational structures, processes, and practices and how these, in turn, shape social relations and create institutions that ultimately influence people", organizational studies comprise different areas that deal with the different aspects of the organizations, many of the approaches are functionalist but critical research also provide alternative frame for understanding in the field. Fundamental to the study of management is organizational change. With the recent historical turn, there is growing interest in historical organization studies, promising a closer union between organizational and historical research whose validity derives from historical veracity and conceptual rigor, enhancing understanding of historical, contemporary and future-directed social realities.
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Article
Organizational studies is "the examination of how individuals construct organizational structures, processes, and practices and how these, in turn, shape social relations and create institutions that ultimately influence people", organizational studies comprise different areas that deal with the different aspects of the organizations, many of the approaches are functionalist but critical research also provide alternative frame for understanding in the field. Fundamental to the study of management is organizational change. With the recent historical turn, there is growing interest in historical organization studies, promising a closer union between organizational and historical research whose validity derives from historical veracity and conceptual rigor, enhancing understanding of historical, contemporary and future-directed social realities.
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John Arundel Barnes
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John Arundel Barnes M.A. D.Phil. DSC FBA (September 9, 1918 – September 13, 2010) was an Australian and British social anthropologist. Until his death in 2010, Barnes held the post of Emeritus Professor of Sociology, Fellow of Churchill College. From 1969 to 1982, he held the post of Professor of Sociology at the University of Cambridge. Previous positions include faculty posts in social anthropology at the University of Sydney and the Australian National University in Canberra, He also was associated with Academy of the Social Sciences in Australia, University College London, St John's College, Cambridge, Balliol College, Oxford and the Rhodes-Livingstone Institute. Barnes was a student of Max Gluckman in the Manchester School.
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Article
John Arundel Barnes M.A. D.Phil. DSC FBA (September 9, 1918 – September 13, 2010) was an Australian and British social anthropologist. Until his death in 2010, Barnes held the post of Emeritus Professor of Sociology, Fellow of Churchill College. From 1969 to 1982, he held the post of Professor of Sociology at the University of Cambridge. Previous positions include faculty posts in social anthropology at the University of Sydney and the Australian National University in Canberra, He also was associated with Academy of the Social Sciences in Australia, University College London, St John's College, Cambridge, Balliol College, Oxford and the Rhodes-Livingstone Institute. Barnes was a student of Max Gluckman in the Manchester School.
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Jacob Moreno
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Jacob Levy Moreno (born Iacob Levy; May 18, 1889 – May 14, 1974) was a Romanian-American psychiatrist, psychosociologist, and educator, the founder of psychodrama, and the foremost pioneer of group psychotherapy. During his lifetime, he was recognized as one of the leading social scientists.
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Jacob Levy Moreno (born Iacob Levy; May 18, 1889 – May 14, 1974) was a Romanian-American psychiatrist, psychosociologist, and educator, the founder of psychodrama, and the foremost pioneer of group psychotherapy. During his lifetime, he was recognized as one of the leading social scientists.
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Émile Durkheim
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David Émile Durkheim (French: [emil dyʁkɛm] or [dyʁkajm]; 15 April 1858 – 15 November 1917) was a French sociologist. He formally established the academic discipline and—with W. E. B. Du Bois, Karl Marx and Max Weber—is commonly cited as the principal architect of modern social science.Much of Durkheim's work was concerned with how societies could maintain their integrity and coherence in modernity, an era in which traditional social and religious ties are no longer assumed, and in which new social institutions have come into being. His first major sociological work was The Division of Labour in Society (1893). In 1895, he published The Rules of Sociological Method and set up the first European department of sociology, becoming France's first professor of sociology. In 1898, he established the journal L'Année Sociologique. Durkheim's seminal monograph, Suicide (1897), a study of suicide rates in Catholic and Protestant populations, pioneered modern social research and served to distinguish social science from psychology and political philosophy. The Elementary Forms of the Religious Life (1912) presented a theory of religion, comparing the social and cultural lives of aboriginal and modern societies.
Durkheim was also deeply preoccupied with the acceptance of sociology as a legitimate science. He refined the positivism originally set forth by Auguste Comte, promoting what could be considered as a form of epistemological realism, as well as the use of the hypothetico-deductive model in social science. For him, sociology was the science of institutions, if this term is understood in its broader meaning as "beliefs and modes of behaviour instituted by the collectivity" and its aim being to discover structural social facts. Durkheim was a major proponent of structural functionalism, a foundational perspective in both sociology and anthropology. In his view, social science should be purely holistic; that is, sociology should study phenomena attributed to society at large, rather than being limited to the specific actions of individuals.
He remained a dominant force in French intellectual life until his death in 1917, presenting numerous lectures and published works on a variety of topics, including the sociology of knowledge, morality, social stratification, religion, law, education, and deviance. Durkheimian terms such as "collective consciousness" have since entered the popular lexicon.
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http://en.wikipedia.org/wiki/Émile Durkheim
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David Émile Durkheim (French: [emil dyʁkɛm] or [dyʁkajm]; 15 April 1858 – 15 November 1917) was a French sociologist. He formally established the academic discipline and—with W. E. B. Du Bois, Karl Marx and Max Weber—is commonly cited as the principal architect of modern social science.Much of Durkheim's work was concerned with how societies could maintain their integrity and coherence in modernity, an era in which traditional social and religious ties are no longer assumed, and in which new social institutions have come into being. His first major sociological work was The Division of Labour in Society (1893). In 1895, he published The Rules of Sociological Method and set up the first European department of sociology, becoming France's first professor of sociology. In 1898, he established the journal L'Année Sociologique. Durkheim's seminal monograph, Suicide (1897), a study of suicide rates in Catholic and Protestant populations, pioneered modern social research and served to distinguish social science from psychology and political philosophy. The Elementary Forms of the Religious Life (1912) presented a theory of religion, comparing the social and cultural lives of aboriginal and modern societies.
Durkheim was also deeply preoccupied with the acceptance of sociology as a legitimate science. He refined the positivism originally set forth by Auguste Comte, promoting what could be considered as a form of epistemological realism, as well as the use of the hypothetico-deductive model in social science. For him, sociology was the science of institutions, if this term is understood in its broader meaning as "beliefs and modes of behaviour instituted by the collectivity" and its aim being to discover structural social facts. Durkheim was a major proponent of structural functionalism, a foundational perspective in both sociology and anthropology. In his view, social science should be purely holistic; that is, sociology should study phenomena attributed to society at large, rather than being limited to the specific actions of individuals.
He remained a dominant force in French intellectual life until his death in 1917, presenting numerous lectures and published works on a variety of topics, including the sociology of knowledge, morality, social stratification, religion, law, education, and deviance. Durkheimian terms such as "collective consciousness" have since entered the popular lexicon.
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Georg Simmel
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Georg Simmel (; German: [ˈzɪməl]; 1 March 1858 – 28 September 1918) was a German sociologist, philosopher, and critic.
Simmel was one of the first generation of German sociologists: his neo-Kantian approach laid the foundations for sociological antipositivism, asking 'What is society?' in a direct allusion to Kant's question 'What is nature?', presenting pioneering analyses of social individuality and fragmentation. For Simmel, culture referred to "the cultivation of individuals through the agency of external forms which have been objectified in the course of history". Simmel discussed social and cultural phenomena in terms of "forms" and "contents" with a transient relationship; form becoming content, and vice versa, dependent on the context. In this sense he was a forerunner to structuralist styles of reasoning in the social sciences. With his work on the metropolis, Simmel was a precursor of urban sociology, symbolic interactionism and social network analysis.An acquaintance of Max Weber, Simmel wrote on the topic of personal character in a manner reminiscent of the sociological 'ideal type'. He broadly rejected academic standards, however, philosophically covering topics such as emotion and romantic love. Both Simmel and Weber's nonpositivist theory would inform the eclectic critical theory of the Frankfurt School.Simmel's most famous works today are The Problems of the Philosophy of History (1892), The Philosophy of Money (1900), The Metropolis and Mental Life (1903), Soziologie (1908, inc. The Stranger, The Social Boundary, The Sociology of the Senses, The Sociology of Space, and On The Spatial Projections of Social Forms), and Fundamental Questions of Sociology (1917). He also wrote extensively on the philosophy of Schopenhauer and Nietzsche, as well on art, most notably his book Rembrandt: An Essay in the Philosophy of Art (1916).
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http://en.wikipedia.org/wiki/Georg Simmel
Article
Georg Simmel (; German: [ˈzɪməl]; 1 March 1858 – 28 September 1918) was a German sociologist, philosopher, and critic.
Simmel was one of the first generation of German sociologists: his neo-Kantian approach laid the foundations for sociological antipositivism, asking 'What is society?' in a direct allusion to Kant's question 'What is nature?', presenting pioneering analyses of social individuality and fragmentation. For Simmel, culture referred to "the cultivation of individuals through the agency of external forms which have been objectified in the course of history". Simmel discussed social and cultural phenomena in terms of "forms" and "contents" with a transient relationship; form becoming content, and vice versa, dependent on the context. In this sense he was a forerunner to structuralist styles of reasoning in the social sciences. With his work on the metropolis, Simmel was a precursor of urban sociology, symbolic interactionism and social network analysis.An acquaintance of Max Weber, Simmel wrote on the topic of personal character in a manner reminiscent of the sociological 'ideal type'. He broadly rejected academic standards, however, philosophically covering topics such as emotion and romantic love. Both Simmel and Weber's nonpositivist theory would inform the eclectic critical theory of the Frankfurt School.Simmel's most famous works today are The Problems of the Philosophy of History (1892), The Philosophy of Money (1900), The Metropolis and Mental Life (1903), Soziologie (1908, inc. The Stranger, The Social Boundary, The Sociology of the Senses, The Sociology of Space, and On The Spatial Projections of Social Forms), and Fundamental Questions of Sociology (1917). He also wrote extensively on the philosophy of Schopenhauer and Nietzsche, as well on art, most notably his book Rembrandt: An Essay in the Philosophy of Art (1916).
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sociolinguistics
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Sociolinguistics is the descriptive study of the effect of any and all aspects of society, including cultural norms, expectations, and context, on the way language is used, and society's effect on language. It differs from sociology of language, which focuses on the effect of language on society. Sociolinguistics overlaps considerably with pragmatics. It is historically closely related to linguistic anthropology, and the distinction between the two fields has been questioned.It also studies how language varieties differ between groups separated by certain social variables (e.g., ethnicity, religion, status, gender, level of education, age, etc.) and how creation and adherence to these rules is used to categorize individuals in social or socioeconomic classes. As the usage of a language varies from place to place, language usage also varies among social classes, and it is these sociolects that sociolinguistics studies.
The social aspects of language were in the modern sense first studied by Indian and Japanese linguists in the 1930s, and also by Louis Gauchat in Switzerland in the early 1900s, but none received much attention in the West until much later. The study of the social motivation of language change, on the other hand, has its foundation in the wave model of the late 19th century. The first attested use of the term sociolinguistics was by Thomas Callan Hodson in the title of his 1939 article "Sociolinguistics in India" published in Man in India. Sociolinguistics in the West first appeared in the 1960s and was pioneered by linguists such as William Labov in the US and Basil Bernstein in the UK. In the 1960s, William Stewart and Heinz Kloss introduced the basic concepts for the sociolinguistic theory of pluricentric languages, which describes how standard language varieties differ between nations (e.g. American/British/Canadian/Australian English; Austrian/German/Swiss German; Bosnian/Croatian/Montenegrin/Serbian Serbo-Croatian).
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http://en.wikipedia.org/wiki/sociolinguistics
Article
Sociolinguistics is the descriptive study of the effect of any and all aspects of society, including cultural norms, expectations, and context, on the way language is used, and society's effect on language. It differs from sociology of language, which focuses on the effect of language on society. Sociolinguistics overlaps considerably with pragmatics. It is historically closely related to linguistic anthropology, and the distinction between the two fields has been questioned.It also studies how language varieties differ between groups separated by certain social variables (e.g., ethnicity, religion, status, gender, level of education, age, etc.) and how creation and adherence to these rules is used to categorize individuals in social or socioeconomic classes. As the usage of a language varies from place to place, language usage also varies among social classes, and it is these sociolects that sociolinguistics studies.
The social aspects of language were in the modern sense first studied by Indian and Japanese linguists in the 1930s, and also by Louis Gauchat in Switzerland in the early 1900s, but none received much attention in the West until much later. The study of the social motivation of language change, on the other hand, has its foundation in the wave model of the late 19th century. The first attested use of the term sociolinguistics was by Thomas Callan Hodson in the title of his 1939 article "Sociolinguistics in India" published in Man in India. Sociolinguistics in the West first appeared in the 1960s and was pioneered by linguists such as William Labov in the US and Basil Bernstein in the UK. In the 1960s, William Stewart and Heinz Kloss introduced the basic concepts for the sociolinguistic theory of pluricentric languages, which describes how standard language varieties differ between nations (e.g. American/British/Canadian/Australian English; Austrian/German/Swiss German; Bosnian/Croatian/Montenegrin/Serbian Serbo-Croatian).
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geography
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Geography (from Greek: γεωγραφία, geographia, literally "earth description") is a field of science devoted to the study of the lands, features, inhabitants, and phenomena of the Earth and planets. The first person to use the word γεωγραφία was Eratosthenes (276–194 BC). Geography is an all-encompassing discipline that seeks an understanding of Earth and its human and natural complexities—not merely where objects are, but also how they have changed and come to be.
Geography is often defined in terms of two branches: human geography and physical geography. Human geography deals with the study of people and their communities, cultures, economies, and interactions with the environment by studying their relations with and across space and place. Physical geography deals with the study of processes and patterns in the natural environment like the atmosphere, hydrosphere, biosphere, and geosphere.
The four historical traditions in geographical research are: spatial analyses of natural and the human phenomena, area studies of places and regions, studies of human-land relationships, and the Earth sciences. Geography has been called "the world discipline" and "the bridge between the human and the physical sciences".
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http://en.wikipedia.org/wiki/geography
Article
Geography (from Greek: γεωγραφία, geographia, literally "earth description") is a field of science devoted to the study of the lands, features, inhabitants, and phenomena of the Earth and planets. The first person to use the word γεωγραφία was Eratosthenes (276–194 BC). Geography is an all-encompassing discipline that seeks an understanding of Earth and its human and natural complexities—not merely where objects are, but also how they have changed and come to be.
Geography is often defined in terms of two branches: human geography and physical geography. Human geography deals with the study of people and their communities, cultures, economies, and interactions with the environment by studying their relations with and across space and place. Physical geography deals with the study of processes and patterns in the natural environment like the atmosphere, hydrosphere, biosphere, and geosphere.
The four historical traditions in geographical research are: spatial analyses of natural and the human phenomena, area studies of places and regions, studies of human-land relationships, and the Earth sciences. Geography has been called "the world discipline" and "the bridge between the human and the physical sciences".
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economics
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Economics () is the social science that studies the production, distribution, and consumption of goods and services.Economics focuses on the behaviour and interactions of economic agents and how economies work. Microeconomics analyzes basic elements in the economy, including individual agents and markets, their interactions, and the outcomes of interactions. Individual agents may include, for example, households, firms, buyers, and sellers. Macroeconomics analyzes the entire economy (meaning aggregated production, consumption, savings, and investment) and issues affecting it, including unemployment of resources (labour, capital, and land), inflation, economic growth, and the public policies that address these issues (monetary, fiscal, and other policies). See glossary of economics.
Other broad distinctions within economics include those between positive economics, describing "what is", and normative economics, advocating "what ought to be"; between economic theory and applied economics; between rational and behavioural economics; and between mainstream economics and heterodox economics.Economic analysis can be applied throughout society, in business, finance, health care, and government. Economic analysis is sometimes also applied to such diverse subjects as crime, education, the family, law, politics, religion, social institutions, war, science, and the environment.
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Economics () is the social science that studies the production, distribution, and consumption of goods and services.Economics focuses on the behaviour and interactions of economic agents and how economies work. Microeconomics analyzes basic elements in the economy, including individual agents and markets, their interactions, and the outcomes of interactions. Individual agents may include, for example, households, firms, buyers, and sellers. Macroeconomics analyzes the entire economy (meaning aggregated production, consumption, savings, and investment) and issues affecting it, including unemployment of resources (labour, capital, and land), inflation, economic growth, and the public policies that address these issues (monetary, fiscal, and other policies). See glossary of economics.
Other broad distinctions within economics include those between positive economics, describing "what is", and normative economics, advocating "what ought to be"; between economic theory and applied economics; between rational and behavioural economics; and between mainstream economics and heterodox economics.Economic analysis can be applied throughout society, in business, finance, health care, and government. Economic analysis is sometimes also applied to such diverse subjects as crime, education, the family, law, politics, religion, social institutions, war, science, and the environment.
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anthropology
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Anthropology is the scientific study of humans and human behavior and societies in the past and present. Social anthropology and cultural anthropology study the norms and values of societies. Linguistic anthropology studies how language affects social life. Biological or physical anthropology studies the biological development of humans.
Archaeology, which studies past human cultures through investigation of physical evidence, is thought of as a branch of anthropology in the United States and Canada, while in Europe, it is viewed as a discipline in its own right or grouped under other related disciplines, such as history.
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http://en.wikipedia.org/wiki/anthropology
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Anthropology is the scientific study of humans and human behavior and societies in the past and present. Social anthropology and cultural anthropology study the norms and values of societies. Linguistic anthropology studies how language affects social life. Biological or physical anthropology studies the biological development of humans.
Archaeology, which studies past human cultures through investigation of physical evidence, is thought of as a branch of anthropology in the United States and Canada, while in Europe, it is viewed as a discipline in its own right or grouped under other related disciplines, such as history.
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sociogram
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A sociogram is a graphic representation of social links that a person has. It is a graph drawing that plots the structure of interpersonal relations in a group situation.
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http://en.wikipedia.org/wiki/sociogram
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A sociogram is a graphic representation of social links that a person has. It is a graph drawing that plots the structure of interpersonal relations in a group situation.
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development studies
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Development studies is an multidisciplinary branch of social science. Development studies is offered as a specialized master's degree in a number of reputed universities across the world, and, less commonly, as an undergraduate degree. It has grown in popularity as a subject of study since the early 1990s, and has been most widely taught and researched in the third world and in countries with a colonial history, such as the UK, where development studies originated. Students of development studies often choose careers in international organisations such as the United Nations, World Bank, non-governmental organisations (NGOs), media and journalism houses, private sector development consultancy firms, corporate social responsibility (CSR) bodies and research centers.
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http://en.wikipedia.org/wiki/development studies
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Development studies is an multidisciplinary branch of social science. Development studies is offered as a specialized master's degree in a number of reputed universities across the world, and, less commonly, as an undergraduate degree. It has grown in popularity as a subject of study since the early 1990s, and has been most widely taught and researched in the third world and in countries with a colonial history, such as the UK, where development studies originated. Students of development studies often choose careers in international organisations such as the United Nations, World Bank, non-governmental organisations (NGOs), media and journalism houses, private sector development consultancy firms, corporate social responsibility (CSR) bodies and research centers.
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Content analysis
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Content analysis is a research method for studying documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. One of the key advantages of using content analysis to analyse social phenomena is its non-invasive nature, in contrast to simulating social experiences or collecting survey answers.
Practices and philosophies of content analysis vary between academic disciplines. They all involve systematic reading or observation of texts or artifacts which are assigned labels (sometimes called codes) to indicate the presence of interesting, meaningful pieces of content. By systematically labeling the content of a set of texts, researchers can analyse patterns of content quantitatively using statistical methods, or use qualitative methods to analyse meanings of content within texts.
Computers are increasingly used in content analysis to automate the labeling (or coding) of documents. Simple computational techniques can provide descriptive data such as word frequencies and document lengths. Machine learning classifiers can greatly increase the number of texts that can be labeled, but the scientific utility of doing so is a matter of debate.
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http://en.wikipedia.org/wiki/Content analysis
Article
Content analysis is a research method for studying documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. One of the key advantages of using content analysis to analyse social phenomena is its non-invasive nature, in contrast to simulating social experiences or collecting survey answers.
Practices and philosophies of content analysis vary between academic disciplines. They all involve systematic reading or observation of texts or artifacts which are assigned labels (sometimes called codes) to indicate the presence of interesting, meaningful pieces of content. By systematically labeling the content of a set of texts, researchers can analyse patterns of content quantitatively using statistical methods, or use qualitative methods to analyse meanings of content within texts.
Computers are increasingly used in content analysis to automate the labeling (or coding) of documents. Simple computational techniques can provide descriptive data such as word frequencies and document lengths. Machine learning classifiers can greatly increase the number of texts that can be labeled, but the scientific utility of doing so is a matter of debate.
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disease transmission
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In medicine, public health, and biology, transmission is the passing of a pathogen causing communicable disease from an infected host individual or group to a particular individual or group, regardless of whether the other individual was previously infected.The term strictly refers to the transmission of microorganisms directly from one individual to another by one or more of the following means:
droplet contact – coughing or sneezing on another individual
direct physical contact – touching an infected individual, including sexual contact
indirect physical contact – usually by touching a contaminated surface, including soil (fomite)
airborne transmission – if the microorganism can remain in the air for long periods
fecal-oral transmission – usually from unwashed hands, contaminated food or water sources due to lack of sanitation and hygiene, an important transmission route in pediatrics, veterinary medicine and developing countries.Transmission can also be indirect, via another organism, either a vector (e.g. a mosquito or fly) or an intermediate host (e.g. tapeworm in pigs can be transmitted to humans who ingest improperly cooked pork). Indirect transmission could involve zoonoses or, more typically, larger pathogens like macroparasites with more complex life cycles. Transmissions can be autochthonous (i.e. between two individuals in the same place) or may involve travel of the microorganism or the affected hosts.
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http://en.wikipedia.org/wiki/disease transmission
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In medicine, public health, and biology, transmission is the passing of a pathogen causing communicable disease from an infected host individual or group to a particular individual or group, regardless of whether the other individual was previously infected.The term strictly refers to the transmission of microorganisms directly from one individual to another by one or more of the following means:
droplet contact – coughing or sneezing on another individual
direct physical contact – touching an infected individual, including sexual contact
indirect physical contact – usually by touching a contaminated surface, including soil (fomite)
airborne transmission – if the microorganism can remain in the air for long periods
fecal-oral transmission – usually from unwashed hands, contaminated food or water sources due to lack of sanitation and hygiene, an important transmission route in pediatrics, veterinary medicine and developing countries.Transmission can also be indirect, via another organism, either a vector (e.g. a mosquito or fly) or an intermediate host (e.g. tapeworm in pigs can be transmitted to humans who ingest improperly cooked pork). Indirect transmission could involve zoonoses or, more typically, larger pathogens like macroparasites with more complex life cycles. Transmissions can be autochthonous (i.e. between two individuals in the same place) or may involve travel of the microorganism or the affected hosts.
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collaboration graph
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In mathematics and social science, a collaboration graph is a graph modeling some social network where the vertices represent participants of that network (usually individual people) and where two distinct participants are joined by an edge whenever there is a collaborative relationship between them of a particular kind. Collaboration graphs are used to measure the closeness of collaborative relationships between the participants of the network.
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Article
In mathematics and social science, a collaboration graph is a graph modeling some social network where the vertices represent participants of that network (usually individual people) and where two distinct participants are joined by an edge whenever there is a collaborative relationship between them of a particular kind. Collaboration graphs are used to measure the closeness of collaborative relationships between the participants of the network.
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112
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372
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371
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109
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104
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108
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107
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106
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105
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101
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103
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98
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97
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96
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95
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94
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276
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275
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274
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273
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272
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93
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444
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1
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443
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1
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442
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1
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415
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90
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92
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1
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91
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88
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1
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86
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85
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84
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83
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1
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82
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1
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81
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1
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76
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1
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1
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75
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1
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74
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1
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No
72
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1
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No
71
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1
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No
70
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1
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No
73
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1
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No
68
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1
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No
69
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1
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No
67
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1
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No
66
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1
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No
65
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1
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1
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No
413
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1
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1
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No
412
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1
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No
411
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1
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1
1
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No
278
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1
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1
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No
270
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1
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1
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1
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No
114
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1
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1
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No
87
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1
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No
344
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1
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343
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1
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No
342
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No
341
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1
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No
237
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1
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No
198
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1
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No
62
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No
64
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1
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No
63
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1
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No
61
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1
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1
1
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No
419
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1
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5
1
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Yes
418
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1
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5
1
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No
417
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1
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1
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Yes
416
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1
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5
1
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No
414
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1
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1
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1
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No
77
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5
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No
58
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1
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No
60
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No
59
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No
57
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No
171
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No
170
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3
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No
169
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3
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No
168
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3
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No
55
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428
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427
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1
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1
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No
423
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No
404
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No
361
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No
347
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No
245
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No
50
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5
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No
426
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1
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No
425
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1
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No
424
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1
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1
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No
280
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1
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1
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No
78
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1
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5
1
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No
49
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1
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5
1
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No
184
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1
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No
181
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1
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No
180
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1
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No
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56
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176
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231
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32
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25
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23
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22
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21
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20
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No
19
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No
18
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429
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349
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No
79
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15
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No
269
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No
268
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267
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No
266
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13
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No
80
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12
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No
17
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No
16
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No
445
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439
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No
115
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No
9
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No
407
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403
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No
374
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No
118
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8
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No
375
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No
7
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No
116
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1
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No
6
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1
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No
11
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No
10
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No
5
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1
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No
440
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1
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No
4
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1
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