The graph represents a network of 1,694 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, 12 October 2022 at 10:35 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 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, 5-hour, 7-minute period from Sunday, 09 October 2022 at 18:36 UTC to Tuesday, 11 October 2022 at 23:43 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 : 1694
Unique Edges : 1043
Edges With Duplicates : 14508
Total Edges : 15551
Number of Edge Types : 5
Retweet : 6291
MentionsInRetweet : 7364
Tweet : 1267
Mentions : 515
Replies to : 114
Self-Loops : 1382
Reciprocated Vertex Pair Ratio : 0.0122219506233195
Reciprocated Edge Ratio : 0.0241487563390485
Connected Components : 155
Single-Vertex Connected Components : 106
Maximum Vertices in a Connected Component : 1450
Maximum Edges in a Connected Component : 15171
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.912005
Graph Density : 0.00144389251944426
Modularity : 0.186747
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 1,694 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, 12 October 2022 at 10:35 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 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, 5-hour, 7-minute period from Sunday, 09 October 2022 at 18:36 UTC to Tuesday, 11 October 2022 at 23:43 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:
[3831] #bigdata,#analytics [2445] #python,#rstats [2296] #iot,#iiot [2183] #analytics,#datascience [1936] #datascience,#ai [1867] #iiot,#python [1652] #ai,#machinelearning [1553] #machinelearning,#datascience [1460] #analytics,#ai [1416] #cybersecurity,#bigdata Top Word Pairs in Tweet in G1:
[2106] #bigdata,#analytics [1398] #python,#rstats [1207] #analytics,#datascience [1146] #iot,#iiot [1071] #datascience,#ai [1057] #ai,#machinelearning [1052] #iiot,#python [927] #machinelearning,#datascience [785] #analytics,#ai [752] #machinelearning,#iot Top Word Pairs in Tweet in G2:
[638] #bigdata,#analytics [514] #python,#rstats [497] #cybersecurity,#bigdata [473] #sql,#cybersecurity [473] #iiot,#python [472] #analytics,#ai [459] #datascience,#sql [413] #ai,#iiot [413] #machinelearning,#datascience [159] #rstats,#tensorflow Top Word Pairs in Tweet in G3:
[428] #bigdata,#analytics [387] #analytics,#datascience [372] #iot,#iiot [313] #datascience,#ai [303] #ai,#machinelearning [296] #machinelearning,#iot [279] #python,#rstats [199] #iiot,#pytorch [193] #pytorch,#python [115] #rstats,#tensorflow Top Word Pairs in Tweet in G4:
[24] accelerate,tensorflow [19] recognition,model [19] workflows,thread [19] tools,support [19] model,released [19] whisper,openai's [19] explore,tools [19] recent,automatic [19] automatic,speech [19] tensorflow,workflows Top Word Pairs in Tweet in G5:
[395] #bigdata,#analytics [287] #analytics,#datascience [272] #datascience,#ai [234] #machinelearning,#bigdata [203] #iot,#iiot [187] #ai,#iot [144] #robloxdev,#scicomm [132] #psg,#quebec [132] #quebec,#annecy_live [132] #annecy_live,#robloxdev Top Word Pairs in Tweet in G6:
[48] udemy,course [31] course,follow [31] #bigdata,#analytics [27] free,udemy [21] #analytics,#ai [21] coupon,udemy [21] discount,coupon [15] #machinelearning,#datascience [14] #datascience,#bigdata [13] #cybersecurity,#bigdata Top Word Pairs in Tweet in G7:
[355] #iot,#iiot [230] #iiot,#pytorch [201] #python,#iot [199] #javascript,#reactjs [167] #reactjs,#wordpress [167] #wordpress,#security [161] #pytorch,#python [156] #security,#defi [142] #dataanalytics,#machinelearning [133] #bigdata,#analytics Top Word Pairs in Tweet in G8:
[37] deep,learning [37] 000,ways [37] learning,great [37] overwhelmed,many [37] many,choices [37] people,overwhelmed [37] great,people [37] ways,start [37] start,deep [36] svpino,000 Top Word Pairs in Tweet in G9:
[30] super,excited [30] learning,huge [30] machine,learning [30] googledevexpert,machine [30] excited,announce [30] thanks,everyone [30] announce,officially [30] officially,googledevexpert [30] huge,thanks [29] olayinkapeter_,super Top Word Pairs in Tweet in G10:
[61] #datascience,sme_rt [60] sme_rt,blazedrts [60] #opensource,#cryptocurrency [60] blazedrts,#opensource [59] #algotrading,#binance [59] #binance,#ai [59] #cryptocurrency,#algotrading [59] #ai,#ml [48] #eth,#datascience [48] #btc,#eth Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: