The graph represents a network of 2,087 Twitter users whose tweets in the requested range contained "tensorflow", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 July 2020 at 10:53 UTC.
The requested start date was Wednesday, 22 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 10-minute period from Sunday, 19 July 2020 at 23:49 UTC to Wednesday, 22 July 2020 at 00:00 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 : 2087
Unique Edges : 1335
Edges With Duplicates : 8847
Total Edges : 10182
Number of Edge Types : 5
Retweet : 4024
MentionsInRetweet : 4775
Tweet : 893
Replies to : 113
Mentions : 377
Self-Loops : 941
Reciprocated Vertex Pair Ratio : 0.0089261563429808
Reciprocated Edge Ratio : 0.0176943699731903
Connected Components : 262
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 1515
Maximum Edges in a Connected Component : 9253
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.97389
Graph Density : 0.000856785442089803
Modularity : 0.308372
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 2,087 Twitter users whose tweets in the requested range contained "tensorflow", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 July 2020 at 10:53 UTC.
The requested start date was Wednesday, 22 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 10-minute period from Sunday, 19 July 2020 at 23:49 UTC to Wednesday, 22 July 2020 at 00:00 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 : tensorflow
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[1480] #bigdata,#analytics [1411] #analytics,#datascience [1114] #iot,#iiot [851] #datascience,#ai [734] #ai,#machinelearning [722] deep,learning [591] #python,#rstats [523] #machinelearning,#iot [463] #iiot,#pytorch [444] machine,learning Top Word Pairs in Tweet in G1:
[1418] #bigdata,#analytics [1339] #analytics,#datascience [1065] #iot,#iiot [815] #datascience,#ai [694] #ai,#machinelearning [568] #python,#rstats [503] #machinelearning,#iot [438] #iiot,#pytorch [408] #rstats,#tensorflow [389] #iiot,#python Top Word Pairs in Tweet in G2:
[49] happy,announce [47] cheers,500 [47] 500,four [47] four,months [47] months,ago [47] ago,launched [47] launched,tensorflow [47] tensorflow,developer [47] developer,certificate [47] certificate,happy Top Word Pairs in Tweet in G3:
[198] front,end [195] end,javascript [195] javascript,mobile [194] language,learn [194] learn,first [194] first,well [194] well,depends [194] depends,build [194] build,front [194] mobile,apps Top Word Pairs in Tweet in G4:
[156] #ai,#ml [153] #dl,#ai [116] #ml,#deeplearning [73] deep,learning [67] machine,learning [53] #tensorflow,#keras [49] #deeplearning,#artificialintelligence [49] #machinelearning,#tensorflow [43] #artificialintelligence,#machinelearning [39] #keras,#pytorch Top Word Pairs in Tweet in G5:
[172] without,phd [168] deep,learning [166] tensorflow,keras [166] keras,deep [166] learning,without [166] phd,martin_gorner [166] martin_gorner,clear [166] clear,approachable [166] approachable,fun [165] fun,introduction Top Word Pairs in Tweet in G6:
[51] deep,learning [49] machine,learning [40] artificial,intelligence [39] introduction,tensorflow [39] tensorflow,artificial [39] intelligence,machine [39] learning,deep [39] learning,andrew [39] andrew,ng [39] ng,computer Top Word Pairs in Tweet in G7:
[117] 和製の機械学習ライブラリ,chainer [117] chainer,は [117] は,開発が終了してしまった [117] 開発が終了してしまった,今はもう [117] 今はもう,アメリカ製のpytorchとtensorflowの二強体制に移ってしまった [117] アメリカ製のpytorchとtensorflowの二強体制に移ってしまった,敗北の原因として僕が指摘したいのは [117] 敗北の原因として僕が指摘したいのは,名前の弱さだ [117] 名前の弱さだ,もし僕が開発者だったら [116] kaitou_ryaku,和製の機械学習ライブラリ [116] もし僕が開発者だったら,機械学習 Top Word Pairs in Tweet in G8:
[76] deep,learning [69] machine,learning [46] data,science [33] science,tools [33] tools,data [33] data,driven [33] driven,decision [33] decision,making [33] making,machine [33] learning,scalable Top Word Pairs in Tweet in G9:
[22] machine,learning [19] deep,learning [16] data,science [15] tensorflow,keras [13] keras,deep [13] learning,without [13] without,phd [13] phd,#tensorflow [12] kgcns,machine [12] learning,over Top Word Pairs in Tweet in G10:
[26] online,courses [26] courses,#python [26] #python,beginners [26] beginners,deep [26] deep,learning [26] learning,#ai [26] #ai,view [26] view,courses [26] courses,#bigdata [25] wallstnewscast,online Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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