The graph represents a network of 2,680 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 Monday, 15 April 2019 at 05:49 UTC.
The requested start date was Sunday, 14 April 2019 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, 19-hour, 5-minute period from Thursday, 11 April 2019 at 04:55 UTC to Sunday, 14 April 2019 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 : 2680
Unique Edges : 3546
Edges With Duplicates : 2868
Total Edges : 6414
Number of Edge Types : 3
Mentions : 4707
Tweet : 1533
Replies to : 174
Self-Loops : 1533
Reciprocated Vertex Pair Ratio : 0.0186658506731946
Reciprocated Edge Ratio : 0.0366476419345149
Connected Components : 578
Single-Vertex Connected Components : 416
Maximum Vertices in a Connected Component : 1690
Maximum Edges in a Connected Component : 5228
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.583123
Graph Density : 0.000463667106795251
Modularity : 0.46672
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1402] #bigdata,#analytics [1285] #datascience,#ai [1124] #analytics,#datascience [1071] #ai,#machinelearning [753] #machinelearning,#iot [751] #iot,#iiot [440] #iiot,#pytorch [434] tensorflow,を使ってブラックホールとポンデリングを見分ける [421] machine,learning [418] 2,0 Top Word Pairs in Tweet in G1:
[133] tensorflow,を使ってブラックホールとポンデリングを見分ける [127] score,0 [122] cat,score [76] 0,11 [75] cat,recognition [75] recognition,classify_image [75] classify_image,py [75] py,tensorflow [75] tensorflow,0 [75] 11,0 Top Word Pairs in Tweet in G2:
[1240] #bigdata,#analytics [1149] #datascience,#ai [1004] #analytics,#datascience [951] #ai,#machinelearning [673] #iot,#iiot [672] #machinelearning,#iot [400] #iiot,#pytorch [322] #pytorch,#python [190] #python,#rstats [159] machine,learning Top Word Pairs in Tweet in G3:
[241] 2,0 [215] new,tutorial [213] added,new [213] tutorial,shows [213] shows,write [213] write,transformer [213] transformer,attention [213] attention,need [213] need,#tensorflow [213] #tensorflow,2 Top Word Pairs in Tweet in G4:
[204] tensorflow,を使ってブラックホールとポンデリングを見分ける [202] を使ってブラックホールとポンデリングを見分ける,qiita [188] 書きました,tensorflow [187] mattn_jp,書きました [17] mattn_jp,tensorflow [15] tensorflow,でブラックホールとポンデリングを判別する記事に [15] でブラックホールとポンデリングを判別する記事に,オニオンリングを混ぜたらどうなるか [15] オニオンリングを混ぜたらどうなるか,とご意見頂いたので学習させて判別する内容を追記しました [15] とご意見頂いたので学習させて判別する内容を追記しました,正しく当てられたかどうかは以下を参照下さい [12] よかった,これで身近にブラックホールがあっても判別できそう Top Word Pairs in Tweet in G5:
[56] 2,0 [51] #bigdata,#analytics [48] #ai,#machinelearning [46] #datascience,#ai [42] #analytics,#datascience [35] dynamicwebpaige,tensorflow [28] episode,tensorflow [28] tensorflow,meets [28] meets,sebastianthrun [28] sebastianthrun,joins Top Word Pairs in Tweet in G6:
[73] #dataengineering,1 [73] 1,2 [73] 2,3 [73] 3,1 [73] 1,integration [73] integration,#jupyter [73] #jupyter,notebooks [73] notebooks,2 [73] 2,orchestrating [73] orchestrating,#tensorflow Top Word Pairs in Tweet in G7:
[38] machine,learning [26] google,cloud [25] deep,learning [24] learning,tensorflow [22] #deeplearning,#ai [20] tf,yarn [19] end,end [19] end,machine [14] tensorflow,google [13] collegewebtv,#coursera Top Word Pairs in Tweet in G9:
[285] #ai,#tensorflow [141] deep,learning [109] machine,learning [98] python,#ai [48] learning,prerequisites [48] regression,python [40] #tensorflow,#ai [36] learning,#ai [33] prerequisites,logistic [33] logistic,regression Top Word Pairs in Tweet in G10:
[43] edge,tpu [21] tpu,model [21] model,compiler [21] compiler,での制約が無くなったようだよ [21] での制約が無くなったようだよ,これで [21] これで,tensorflow [21] tensorflow,liteなモデルは [21] liteなモデルは,edge [21] edge,tpuで動くはず [21] tpuで動くはず,また 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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