The graph represents a network of 4,837 Twitter users whose tweets in the requested range contained ""machine learning"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 27 February 2021 at 01:05 UTC.
The requested start date was Friday, 26 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 19-hour, 51-minute period from Tuesday, 23 February 2021 at 05:09 UTC to Friday, 26 February 2021 at 01:00 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.
Author Description
Vertices : 4837
Unique Edges : 3540
Edges With Duplicates : 12738
Total Edges : 16278
Number of Edge Types : 5
Replies to : 254
Mentions : 1407
Retweet : 5795
MentionsInRetweet : 6975
Tweet : 1847
Self-Loops : 1886
Reciprocated Vertex Pair Ratio : 0.00928041119360365
Reciprocated Edge Ratio : 0.0183901541943698
Connected Components : 729
Single-Vertex Connected Components : 337
Maximum Vertices in a Connected Component : 2974
Maximum Edges in a Connected Component : 13829
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.800437
Graph Density : 0.000302200794708147
Modularity : 0.38382
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 4,837 Twitter users whose tweets in the requested range contained "%22machine learning%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 27 February 2021 at 01:05 UTC.
The requested start date was Friday, 26 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 19-hour, 51-minute period from Tuesday, 23 February 2021 at 05:09 UTC to Friday, 26 February 2021 at 01:00 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 : %22machine learning%22
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
Top URLs in Tweet in Entire Graph:
[66] https://twinybots.ch/ [52] https://databaseline.tech/a-tour-of-end-to-end-ml-platforms/ [34] https://www.mathworks.com/training-schedule/machine-learning-with-matlab [33] https://www.sas.com/en_us/training/academy-data-science.html?utm_source=sasir&utm_medium=referral&utm_campaign=rvl [32] https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ [32] https://www.infoworld.com/article/3608413/review-aws-ai-and-machine-learning-stacks-up.html [32] https://www.youtube.com/watch?v=2ocykBzWDiM&feature=youtu.be [31] https://www.mathworks.com/training-schedule/ [29] http://datahacker.rs/linear-algebra-for-machine-learning/ [29] https://www.amazon.com/Machine-Learning-Coders-Programmers-Intelligence/dp/1492078190?crid=WYLFP9SSZENZ&dchild=1&keywords=machine+learning&qid=1614124663&sprefix=machi,aps,749&sr=8-3&linkCode=sl1&tag=shehan0c-20&linkId=0b35eef3f62dd196d785035930c7712b&language=en_US&ref_=as_li_ss_tl Top URLs in Tweet in G1:
[45] https://databaseline.tech/a-tour-of-end-to-end-ml-platforms/ [31] https://twinybots.ch/ [30] https://www.infoworld.com/article/3608413/review-aws-ai-and-machine-learning-stacks-up.html [30] https://www.sas.com/en_us/training/academy-data-science.html?utm_source=sasir&utm_medium=referral&utm_campaign=rvl [29] https://www.mathworks.com/training-schedule/machine-learning-with-matlab [28] https://www.amazon.com/Machine-Learning-Coders-Programmers-Intelligence/dp/1492078190?crid=WYLFP9SSZENZ&dchild=1&keywords=machine+learning&qid=1614124663&sprefix=machi,aps,749&sr=8-3&linkCode=sl1&tag=shehan0c-20&linkId=0b35eef3f62dd196d785035930c7712b&language=en_US&ref_=as_li_ss_tl [27] https://www.mathworks.com/training-schedule/ [26] https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ [26] http://datahacker.rs/linear-algebra-for-machine-learning/ [26] https://media4you.social/career-development.html#datascience Top URLs in Tweet in G2:
[18] https://jp.techcrunch.com/2021/02/26/2021-02-24-aquarium-scores-2-6m-seed-to-build-more-accurate-machine-learning-models/ [15] https://twinybots.ch/ [11] https://cloud.google.com/blog/topics/developers-practitioners/how-use-machine-learning-model-google-sheet-using-bigquery-ml [8] https://aws.amazon.com/blogs/machine-learning/using-container-images-to-run-tensorflow-models-in-aws-lambda/ [8] https://cloud.google.com/blog/topics/developers-practitioners/how-use-machine-learning-model-google-sheet-using-bigquery-ml/ [7] https://insidebigdata.com/2021/02/24/how-machine-learning-and-data-science-can-advance-nutrition-research/ [7] https://www.healthcareitnews.com/news/how-machine-learning-can-improve-patients-care-plans [6] https://scitechdaily.com/new-machine-learning-theory-raises-questions-about-the-very-nature-of-science/ [6] https://www.youtube.com/watch?v=0PrOA2JK6GQ&feature=youtu.be [6] https://www.connecticum.de/jobboerse/working-thesis-student-machine-learning-all-genders-stellenangebot-1370639.html Top URLs in Tweet in G3:
[3] https://aws.amazon.com/es/events/innovate-online-conference/americas?sc_channel=sm&sc_campaign=AWS_LATAM&sc_publisher=TWITTER&sc_country=LATAM&sc_geo=LATAM&sc_outcome=event_registration&trkCampaign=ML_Innovate_ES&trk=ML_Innovate_ES_TWITTER&sc_content=ML_Innovate_ES&sc_category=Amazon+Machine+Learning&linkId=109715698 [3] https://thebitcoinstreetjournal.com/machine-learning-modeler-financial-crimes-4/ [3] https://twinybots.ch/ [3] https://www.sciencedaily.com/releases/2021/02/210222164213.htm?utm_source=dlvr.it&utm_medium=twitter [3] https://techcrunch.com/2021/02/24/aquarium-scores-2-6m-seed-to-build-more-accurate-machine-learning-models/ [3] https://jp.techcrunch.com/2021/02/26/2021-02-24-aquarium-scores-2-6m-seed-to-build-more-accurate-machine-learning-models/ [2] https://blogs.oracle.com/machinelearning/introducing-oracle-machine-learning-for-python-v2 [2] https://www.finextra.com/newsarticle/37534/bank-machine-learning-models-hit-hard-by-covid [2] https://www.finextra.com/newsarticle/37534/bank-machine-learning-models-hit-hard-by-covid?utm_medium=twitter&utm_source=dlvr.it [2] https://nationalcybersecuritynews.today/machine-learning-aids-in-simulating-dynamics-of-interacting-atoms-education-computertraining/ Top URLs in Tweet in G4:
[1] https://pages.awscloud.com/NAMER-field-OE-cloud-practitioner-essentials-for-fed-gov-feb-22-2021-reg-event.html?sc_medium=twitter&sc_channel=sm&sc_campaign=T%26C,Public_Sector_Federal,Public_Sector_FedFin,Public_Sector_DoD,Public_Sector_NatSec,Public_Sector_FedCiv,Public_Sector_SLG,Public_Sector&sc_publisher=TWITTER&sc_country=Public+Sector&sc_geo=NAMER&sc_outcome=event_registration&trkCampaign=WWPS_US_21_OST_FedCPE0222_Ad1&trk=WWPS_US_21_OST_FedCPE0222_Ad1_TWITTER&sc_content=NAMER_PM_WEBINAR_t-c-cloud-practitioner-feb-22_20210222_&sc_category=AWS+GovCloud+(US),Amazon+Simple+Storage+Service+S3,Amazon+Simple+Storage+Service+(Amazon+S3),Amazon+EC2,Amazon+EC2+Auto+Scaling,Amazon+Elastic+Compute+Cloud+(Amazon+EC2),Amazon+Machine+Learning+(Amazon+ML),AWS+Identity+and+Access+Management+(IAM),AWS+Command+Line+Interface+(AWS+CLI)&linkId=111105138 Top URLs in Tweet in G5:
[16] https://twinybots.ch/ [9] https://enterprisersproject.com/article/2021/2/artificial-intelligence-ai-and-machine-learning-ml-reshaping-cybersecurity [5] https://e-learning-teleformacion.blogspot.com/2020/01/applying-artificial-intelligence.html [4] https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/powerful-ai-can-now-be-trained-on-a-single-computer [4] https://energized.edison.com/stories/sce-using-data-to-become-safer-smarter [3] https://www.healthcareitnews.com/news/how-machine-learning-can-improve-patients-care-plans [3] https://www.learnandmakeit.com/artificial-intelligence-machine-learning-and-deep-learning-complete-guide/ [3] https://harness.io/blog/continuous-verification/ai-ml-introduction/ [3] https://www.fda.gov/news-events/press-announcements/fda-releases-artificial-intelligencemachine-learning-action-plan [3] https://www.geospatialworld.net/blogs/challenges-of-using-machine-learning-on-earth-observation-data/ Top URLs in Tweet in G6:
[4] https://databaseline.tech/a-tour-of-end-to-end-ml-platforms/ [2] https://neo4j.com/blog/graphs-for-artificial-intelligence-and-machine-learning/ [2] https://www.technologyreview.com/2020/10/16/1010566/ai-machine-learning-with-tiny-data/?utm_medium=tr_social&utm_campaign=site_visitor.unpaid.engagement&utm_source=Twitter#Echobox=1614123805 [1] https://twitter.com/TivadarDanka/status/1364242204445863939 [1] https://aws.amazon.com/blogs/machine-learning/amazon-rekognition-custom-labels-community-showcase/ [1] https://aws.amazon.com/blogs/machine-learning/training-debugging-and-running-time-series-forecasting-models-with-the-gluonts-toolkit-on-amazon-sagemaker/ [1] https://aws.amazon.com/blogs/machine-learning/process-documents-containing-handwritten-tabular-content-using-amazon-textract-and-amazon-a2i/ [1] https://aws.amazon.com/blogs/machine-learning/using-container-images-to-run-tensorflow-models-in-aws-lambda/ [1] https://aws.amazon.com/blogs/machine-learning/setting-up-amazon-personalize-with-aws-glue/ [1] https://elvissaravia.substack.com/p/learn-about-transformers-a-recipe Top URLs in Tweet in G7:
[3] https://www.technologyreview.com/2020/11/18/1012234/training-machine-learning-broken-real-world-heath-nlp-computer-vision/?utm_medium=tr_social&utm_campaign=site_visitor.unpaid.engagement&utm_source=Twitter#Echobox=1609536735 [2] https://www.informationweek.com/big-data/ai-machine-learning/addressing-ai-bias-head-on-its-a-human-job/a/d-id/1338656 [2] https://www.raytheonintelligenceandspace.com/news/advisories/raytheon-intelligence-space-partners-virginia-tech-and-southern-methodist [1] https://www.crowdfundinsider.com/2020/12/170603-fintech-lending-apps-are-increasingly-using-ai-and-machine-learning-to-accurately-determine-borrowers-creditworthiness-according-to-researchers/ [1] https://www.digitalhealth.net/2019/10/beyond-skin-deep-using-machine-learning-to-prevent-250000-cancer-deaths/ [1] https://www.forbes.com/sites/louiscolumbus/2021/02/21/10-ways-ai-and-machine-learning-are-improving-marketing-in-2021/?ss=ai&sh=2cd6e02c14c8 [1] https://www.forbes.com/sites/paulmonckton/2020/10/02/google-photos-new-editor-machine-learning-portrait-lighting/#4087ff2029f6 [1] https://www.linkedin.com/feed/update/urn:li:activity:6770862845249904640 [1] https://www.linkedin.com/feed/update/urn:li:activity:6767673580747677696/ [1] https://pytorch.medium.com/51499643018e?source=friends_link&sk=1937cdbf84a2d7ea8aab28539103a0c6 Top URLs in Tweet in G8:
[4] https://deepai.org/machine-learning-glossary-and-terms/bidirectional-recurrent-neural-networks [3] https://deepai.org/machine-learning-glossary-and-terms/long-short-term-memory [2] https://deepai.org/machine-learning-glossary-and-terms/simpsons-paradox [2] https://deepai.org/machine-learning-glossary-and-terms/probability [2] https://deepai.org/machine-learning-glossary-and-terms/finite-difference-equation [2] https://deepai.org/machine-learning-glossary-and-terms/contrastive-divergence [2] https://deepai.org/machine-learning-glossary-and-terms/evolutionary-algorithms [2] https://newscenter.lbl.gov/2021/02/19/researchers-hunt-for-new-particles-in-particle-collider-data [1] https://deepai.org/machine-learning-glossary-and-terms/cumulative-distribution-function [1] https://deepai.org/machine-learning-glossary-and-terms/boltzmann-machine Top URLs in Tweet in G9:
[5] https://machinelearningmastery.com/framework-for-data-preparation-for-machine-learning/ [5] https://healthcareitnews.com/news/machine-learning-helps-cancer-center-targeted-covid-19-outreach [4] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fbecominghuman.ai%2Frole-of-image-annotation-in-applying-machine-learning-for-precision-agriculture-fa5a7966b2bd%3Fsource%3Drss----5e5bef33608a---4 [2] https://machinelearningmastery.com/multi-core-machine-learning-in-python/ [2] https://machinelearningmastery.com/findings-comparing-classical-and-machine-learning-methods-for-time-series-forecasting/ [2] https://www.healthcareitnews.com/news/how-machine-learning-can-improve-patients-care-plans [2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fbecominghuman.ai%2Fhow-is-machine-learning-revolutionizing-supply-chain-management-98faf3c7ed7b%3Fsource%3Drss----5e5bef33608a---4 [2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fpreventing-overfitting-with-lasso-ridge-and-elastic-net-regularization-in-machine-learning-d1799b05d382%3Fsource%3Drss----7f60cf5620c9---4 [2] http://out.faveeo.com/?url=https://www.healthcareitnews.com/news/how-machine-learning-can-improve-patients-care-plans&vertical=healthcare&family=ai [1] https://www.survivingwithandroid.com/arduino-edge-impulse-google-keywords-dataset/ Top URLs in Tweet in G10:
[1] https://www.google.com/sorry/index?continue=https://m.youtube.com/watch%3Fv%3Dk6D0livo3yc&q=EgS4SO-bGNTH14EGIhkA8aeDS79xR26aHTzwU5QXlUvgIj57WTXqMgFy [1] https://www.google.com/sorry/index?continue=https://m.youtube.com/watch%3Fv%3DqvImjpexpEE&q=EgS4SO-bGNTH14EGIhkA8aeDSwk3VGy4_WW8p_SNVL8xfy5OPuUSMgFy Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6264] machine,learning [793] data,science [582] #featured,#courses [528] artificial,intelligence [524] bylilyv,#featured [465] learning,python [440] #courses,machine [439] deep,learning [371] learning,data [302] ai,machine Top Word Pairs in Tweet in G1:
[2616] machine,learning [596] data,science [529] #featured,#courses [471] bylilyv,#featured [393] #courses,machine [383] learning,python [318] deep,learning [272] learning,data [270] #iot,#iiot [251] #machine,#learning Top Word Pairs in Tweet in G2:
[1350] machine,learning [74] data,science [60] ai,machine [54] learning,model [50] artificial,intelligence [47] use,machine [45] using,machine [36] learning,models [36] learning,data [33] deep,learning Top Word Pairs in Tweet in G3:
[329] machine,learning [20] ai,machine [16] use,machine [13] learning,models [13] artificial,intelligence [12] using,machine [10] learning,ai [9] learning,engineer [7] big,data [6] learning,model Top Word Pairs in Tweet in G4:
[292] miss,sharpening [292] sharpening,#aws [292] #aws,skills [292] skills,register [292] register,upcoming [292] upcoming,cost [292] cost,business [292] business,essentials [292] essentials,course [291] aws_gov,miss Top Word Pairs in Tweet in G5:
[411] machine,learning [242] artificial,intelligence [111] intelligence,machine [76] #ai,#ml [68] #ml,#dl [49] ai,machine [44] data,science [39] intelligence,ai [37] deep,learning [28] learning,data Top Word Pairs in Tweet in G6:
[204] machine,learning [34] start,machine [34] learning,tempting [34] tempting,learn [34] learn,many [34] many,different [34] different,algorithms [34] algorithms,methods [34] methods,possible [33] svpino,start Top Word Pairs in Tweet in G7:
[64] machine,learning [16] towards,causal [16] causal,representation [16] representation,learning [16] learning,read [16] read,paper [16] paper,month [16] month,francescolocat8 [16] francescolocat8,bschoelkopf [16] bschoelkopf,rosemary_ke Top Word Pairs in Tweet in G8:
[38] nsd,coming [38] coming,massive [38] massive,7t [38] 7t,fmri [38] fmri,dataset [38] dataset,70 [38] 70,000 [38] 000,coco [38] coco,images [38] images,shown Top Word Pairs in Tweet in G9:
[63] machine,learning [18] study,sessions [16] learning,putting [15] love,transparency [15] transparency,director [15] director,machine [15] putting,hour [15] hour,ml [15] ml,study [15] sessions,recently Top Replied-To in Entire Graph:
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