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newschallenge_2019-12-02_11-08-13.xlsx

From:

NodeXLExcelAutomator

Uploaded on:

December 03, 2019

Short Description:

newschallenge via NodeXL http://bit.ly/2OGyVTa

@micheleaker

@cbsnews

@abc

@cnn

@msnbc

@bablu31422473

@elizarovaranchi

@nbcnews

@toto97351

Top hashtags:

#newschallenge

#ranchiescorts

#ranchiescort

#ranchiindependentescorts

#ranchicallgirls

#challengetoreporton

Tweet
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@micheleaker

@cbsnews

@abc

@cnn

@msnbc

@bablu31422473

@elizarovaranchi

@nbcnews

@toto97351

Top hashtags:

#newschallenge

#ranchiescorts

#ranchiescort

#ranchiindependentescorts

#ranchicallgirls

#challengetoreporton

Tweet

Description:

The graph represents a network of 9 Twitter users whose tweets in the requested range contained "newschallenge", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 December 2019 at 19:08 UTC.

The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 61-day, 19-hour, 11-minute period from Wednesday, 25 September 2019 at 17:29 UTC to Tuesday, 26 November 2019 at 12:40 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 61-day, 19-hour, 11-minute period from Wednesday, 25 September 2019 at 17:29 UTC to Tuesday, 26 November 2019 at 12:40 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Vertices : 9

Unique Edges : 8

Edges With Duplicates : 0

Total Edges : 8

Number of Edge Types : 3

Replies to : 1

Mentions : 5

Tweet : 2

Self-Loops : 2

Reciprocated Vertex Pair Ratio : 0

Reciprocated Edge Ratio : 0

Connected Components : 3

Single-Vertex Connected Components : 1

Maximum Vertices in a Connected Component : 6

Maximum Edges in a Connected Component : 5

Maximum Geodesic Distance (Diameter) : 2

Average Geodesic Distance : 1.268293

Graph Density : 0.0833333333333333

Modularity : 0.445313

NodeXL Version : 1.0.1.421

Data Import : The graph represents a network of 9 Twitter users whose tweets in the requested range contained "newschallenge", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 December 2019 at 19:08 UTC.

The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 61-day, 19-hour, 11-minute period from Wednesday, 25 September 2019 at 17:29 UTC to Tuesday, 26 November 2019 at 12:40 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Graph Source : GraphServerTwitterSearch

Graph Term : newschallenge

Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Edge Color : Edge Weight

Edge Width : Edge Weight

Edge Alpha : Edge Weight

Vertex Radius : Betweenness Centrality

Unique Edges : 8

Edges With Duplicates : 0

Total Edges : 8

Number of Edge Types : 3

Replies to : 1

Mentions : 5

Tweet : 2

Self-Loops : 2

Reciprocated Vertex Pair Ratio : 0

Reciprocated Edge Ratio : 0

Connected Components : 3

Single-Vertex Connected Components : 1

Maximum Vertices in a Connected Component : 6

Maximum Edges in a Connected Component : 5

Maximum Geodesic Distance (Diameter) : 2

Average Geodesic Distance : 1.268293

Graph Density : 0.0833333333333333

Modularity : 0.445313

NodeXL Version : 1.0.1.421

Data Import : The graph represents a network of 9 Twitter users whose tweets in the requested range contained "newschallenge", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 December 2019 at 19:08 UTC.

The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 61-day, 19-hour, 11-minute period from Wednesday, 25 September 2019 at 17:29 UTC to Tuesday, 26 November 2019 at 12:40 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Graph Source : GraphServerTwitterSearch

Graph Term : newschallenge

Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Edge Color : Edge Weight

Edge Width : Edge Weight

Edge Alpha : Edge Weight

Vertex Radius : Betweenness Centrality

@micheleaker | |

Follow |

@cbsnews | |

Follow |

@abc | |

Follow |

@cnn | |

Follow |

@msnbc | |

Follow |

@bablu31422473 | |

Follow |

@elizarovaranchi | |

Follow |

@nbcnews | |

Follow |

@toto97351 | |

Follow |

Top URLs in Tweet in Entire Graph:

[2] https://www.knightfoundation.org/challenges/knight-news-challenge

Top URLs in Tweet in G2:

[2] https://www.knightfoundation.org/challenges/knight-news-challenge

[2] https://www.knightfoundation.org/challenges/knight-news-challenge

Top URLs in Tweet in G2:

[2] https://www.knightfoundation.org/challenges/knight-news-challenge

Top Domains in Tweet in Entire Graph:

[2] knightfoundation.org

Top Domains in Tweet in G2:

[2] knightfoundation.org

[2] knightfoundation.org

Top Domains in Tweet in G2:

[2] knightfoundation.org

Top Hashtags in Tweet in Entire Graph:

[2] newschallenge

[2] ranchiescorts

[2] ranchiescort

[2] ranchiindependentescorts

[2] ranchicallgirls

[1] challengetoreporton

[1] fakenewslyingmedia

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Top Hashtags in Tweet in G1:

[1] newschallenge

[1] challengetoreporton

[1] fakenewslyingmedia

Top Hashtags in Tweet in G2:

[2] ranchiescorts

[2] ranchiescort

[2] ranchiindependentescorts

[2] ranchicallgirls

Top Hashtags in Tweet in G3:

[1] newschallenge

[2] newschallenge

[2] ranchiescorts

[2] ranchiescort

[2] ranchiindependentescorts

[2] ranchicallgirls

[1] challengetoreporton

[1] fakenewslyingmedia

Tweet

Top Hashtags in Tweet in G1:

[1] newschallenge

[1] challengetoreporton

[1] fakenewslyingmedia

Top Hashtags in Tweet in G2:

[2] ranchiescorts

[2] ranchiescort

[2] ranchiindependentescorts

[2] ranchicallgirls

Top Hashtags in Tweet in G3:

[1] newschallenge

Top Words in Tweet in Entire Graph:

[2] Words in Sentiment List#1: Positive

[0] Words in Sentiment List#2: Negative

[0] Words in Sentiment List#3: Angry/Violent

[28] Non-categorized Words

[30] Total Words

[2] #newschallenge

[2] nice

[2] blo

[2] update

[2] #ranchiescorts

Top Words in Tweet in G2:

[2] nice

[2] blo

[2] update

[2] #ranchiescorts

[2] #ranchiescort

[2] #ranchiindependentescorts

[2] #ranchicallgirls

[2] Words in Sentiment List#1: Positive

[0] Words in Sentiment List#2: Negative

[0] Words in Sentiment List#3: Angry/Violent

[28] Non-categorized Words

[30] Total Words

[2] #newschallenge

[2] nice

[2] blo

[2] update

[2] #ranchiescorts

Top Words in Tweet in G2:

[2] nice

[2] blo

[2] update

[2] #ranchiescorts

[2] #ranchiescort

[2] #ranchiindependentescorts

[2] #ranchicallgirls

Top Word Pairs in Tweet in Entire Graph:

[2] nice,blo

[2] blo,update

[2] update,#ranchiescorts

[2] #ranchiescorts,#ranchiescort

[2] #ranchiescort,#ranchiindependentescorts

[2] #ranchiindependentescorts,#ranchicallgirls

Top Word Pairs in Tweet in G2:

[2] nice,blo

[2] blo,update

[2] update,#ranchiescorts

[2] #ranchiescorts,#ranchiescort

[2] #ranchiescort,#ranchiindependentescorts

[2] #ranchiindependentescorts,#ranchicallgirls

[2] nice,blo

[2] blo,update

[2] update,#ranchiescorts

[2] #ranchiescorts,#ranchiescort

[2] #ranchiescort,#ranchiindependentescorts

[2] #ranchiindependentescorts,#ranchicallgirls

Top Word Pairs in Tweet in G2:

[2] nice,blo

[2] blo,update

[2] update,#ranchiescorts

[2] #ranchiescorts,#ranchiescort

[2] #ranchiescort,#ranchiindependentescorts

[2] #ranchiindependentescorts,#ranchicallgirls

Top Mentioned in Entire Graph:

Top Mentioned in G1:

Top Mentioned in G2:

@msnbc | ||

@abc | ||

@cbsnews | ||

@nbcnews | ||

@elizarovaranchi | ||

Top Mentioned in G1:

@msnbc | ||

@abc | ||

@cbsnews | ||

@nbcnews | ||

Top Mentioned in G2:

@elizarovaranchi | ||

Top Tweeters in Entire Graph:

Top Tweeters in G1:

Top Tweeters in G2:

Top Tweeters in G3:

@abc | ||

@cnn | ||

@cbsnews | ||

@nbcnews | ||

@msnbc | ||

@micheleaker | ||

@toto97351 | ||

@elizarovaranchi | ||

@bablu31422473 | ||

Top Tweeters in G1:

@abc | ||

@cnn | ||

@cbsnews | ||

@nbcnews | ||

@msnbc | ||

@micheleaker | ||

Top Tweeters in G2:

@elizarovaranchi | ||

@bablu31422473 | ||

Top Tweeters in G3:

@toto97351 | ||