The graph represents a network of 2,294 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, 20 May 2020 at 10:38 UTC.
The requested start date was Wednesday, 20 May 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 1-day, 16-hour, 11-minute period from Monday, 18 May 2020 at 07:49 UTC to Wednesday, 20 May 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 : 2294
Unique Edges : 1176
Edges With Duplicates : 8823
Total Edges : 9999
Number of Edge Types : 5
Retweet : 4050
MentionsInRetweet : 4525
Tweet : 863
Replies to : 127
Mentions : 434
Self-Loops : 913
Reciprocated Vertex Pair Ratio : 0.0111797587525743
Reciprocated Edge Ratio : 0.0221123072446901
Connected Components : 283
Single-Vertex Connected Components : 175
Maximum Vertices in a Connected Component : 1843
Maximum Edges in a Connected Component : 9403
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.996844
Graph Density : 0.000653404413797194
Modularity : 0.294624
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,294 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, 20 May 2020 at 10:38 UTC.
The requested start date was Wednesday, 20 May 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 1-day, 16-hour, 11-minute period from Monday, 18 May 2020 at 07:49 UTC to Wednesday, 20 May 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 G2:
[1388] boost,question [1258] 2x,performance [925] performance,boost [806] question,answering [744] huggingface,achieved [481] achieved,2x [435] answering,distilbert [415] talk,nlp [413] nlp,see [410] see,huggingface Top Word Pairs in Tweet in G3:
[114] #bigdata,#analytics [113] #iot,#iiot [113] #analytics,#datascience [106] #datascience,#ai [105] #rstats,#tensorflow [105] #python,#rstats [103] #tensorflow,#java [102] #ai,#iot [102] #iiot,#python [102] #iiot,#rstats Top Word Pairs in Tweet in G4:
[444] cat,score [441] cat,recognition [411] recognition,tensorflow [297] tensorflow,10 [285] tabby,tabby [240] tabby,cat [230] 10,tabby [211] egyptian,cat [175] tiger,cat [149] deep,learning Top Word Pairs in Tweet in G5:
[124] gnome,apps [82] apps,running [82] running,windows [82] windows,linux [72] linux,subsystem [72] subsystem,gpu [62] gpu,acceleration [29] acceleration,run [17] run,linux [16] migueldeicaza,gnome Top Word Pairs in Tweet in G6:
[155] #security,#memes [155] #memes,#math [155] #math,#science [155] #science,#engineering [155] #engineering,#cybersecurity [155] one,point [155] point,view [155] view,show [155] show,whole [154] whole,picture Top Word Pairs in Tweet in G7:
[132] #ai,#ml [132] #dl,#ai [132] #ml,#nlp [132] machine,learning [132] deep,learning [100] #nlp,#deeplearning [100] #bigdata,#analytics [100] #analytics,#datascience [100] #iot,#iiot [100] #featured,#courses Top Word Pairs in Tweet in G8:
[37] #bigdata,#analytics [34] #analytics,#datascience [32] #iot,#iiot [27] #python,#rstats [25] #ai,#machinelearning [25] #datascience,#ai [24] #iiot,#python [20] beginner,guide [17] guide,#datascience [14] #datascience,#python Top Word Pairs in Tweet in G9:
[70] #bigdata,#analytics [63] #analytics,#datascience [62] #iot,#iiot [61] #cybersecurity,#iot [47] #webdev,#bigdata [43] #datascience,#cybersecurity [36] explaining,client [33] client,use [33] use,program [33] program,#webdev Top Word Pairs in Tweet in G10:
[80] kevin,murphyが [79] murphyが,みんなもうrからstanを呼び出すなんてことはやめてrからtensorflow [76] みんなもうrからstanを呼び出すなんてことはやめてrからtensorflow,probabilityを呼び出すgretaを使うべきだ [71] probabilityを呼び出すgretaを使うべきだ,というメールを回していたので [70] というメールを回していたので,見に行ったら確かに使いやすそうだった [70] tjo_datasci,kevin [67] 見に行ったら確かに使いやすそうだった,しかも既にc [67] overcome,challenges [67] challenges,bringing [67] bringing,latest Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: