The graph represents a network of 1,399 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, 23 November 2022 at 11:35 UTC.
The requested start date was Wednesday, 23 November 2022 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, 22-hour, 40-minute period from Saturday, 19 November 2022 at 20:10 UTC to Tuesday, 22 November 2022 at 18:51 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 : 1399
Unique Edges : 727
Edges With Duplicates : 11900
Total Edges : 12627
Number of Edge Types : 5
Retweet : 5352
MentionsInRetweet : 5729
Tweet : 1166
Replies to : 32
Mentions : 348
Self-Loops : 1377
Reciprocated Vertex Pair Ratio : 0.00784077201447527
Reciprocated Edge Ratio : 0.0155595451825254
Connected Components : 120
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 1176
Maximum Edges in a Connected Component : 12311
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.612704
Graph Density : 0.00170876192988861
Modularity : 0.176118
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,399 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, 23 November 2022 at 11:35 UTC.
The requested start date was Wednesday, 23 November 2022 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, 22-hour, 40-minute period from Saturday, 19 November 2022 at 20:10 UTC to Tuesday, 22 November 2022 at 18:51 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:
[3436] #bigdata,#analytics [2716] #analytics,#datascience [2379] #datascience,#ai [2309] #ai,#machinelearning [2250] #python,#rstats [1963] #pytorch,#python [1954] #machinelearning,#iot [1428] #iot,#iiot [1272] #rstats,#tensorflow [995] #iot,#pytorch Top Word Pairs in Tweet in G1:
[1852] #bigdata,#analytics [1471] #analytics,#datascience [1389] #ai,#machinelearning [1329] #datascience,#ai [1191] #pytorch,#python [1156] #machinelearning,#iot [1118] #python,#rstats [717] #iot,#pytorch [697] #rstats,#tensorflow [607] #iot,#iiot Top Word Pairs in Tweet in G2:
[448] #bigdata,#analytics [357] #python,#rstats [353] #analytics,#datascience [318] #datascience,#ai [285] #ai,#machinelearning [223] #pytorch,#python [213] #machinelearning,#iot [210] #iot,#iiot [147] #rstats,#tensorflow [126] #tensorflow,#bigdata Top Word Pairs in Tweet in G3:
[332] #bigdata,#analytics [239] #python,#rstats [232] #analytics,#datascience [211] #datascience,#ai [199] #ai,#machinelearning [195] #pytorch,#python [176] #machinelearning,#iot [131] #rstats,#tensorflow [130] #iot,#pytorch [98] #cybersecurity,#bigdata Top Word Pairs in Tweet in G4:
[405] #bigdata,#analytics [393] #iot,#iiot [385] #analytics,#datascience [354] #python,#rstats [282] #datascience,#ai [274] #ai,#machinelearning [247] #machinelearning,#iot [202] #pytorch,#python [202] #rstats,#tensorflow [195] #iiot,#python Top Word Pairs in Tweet in G5:
[111] free,courses [111] completely,free [89] #datascientist,#programming [86] #programming,#coding [85] courses,#datascientist [84] learn,sql [83] sql,12 [83] 12,completely [82] sql,joins [82] joins,learn Top Word Pairs in Tweet in G6:
[9] tensorflow,lite [8] deep,learning [7] neural,networks [7] tensorflow,learn [7] machine,learning [6] open,source [6] grad,cam [6] library,spektral [6] graph,library [6] spektral,pytorch Top Word Pairs in Tweet in G7:
[111] #bigdata,#analytics [85] #analytics,#datascience [72] #python,#rstats [70] #datascience,#ai [53] #ai,#machinelearning [50] #machinelearning,#iot [49] #pytorch,#python [47] #iot,#iiot [36] #rstats,#tensorflow [30] #iiot,#python Top Word Pairs in Tweet in G8:
[13] machine,learning [9] #bigdata,#analytics [8] #analytics,#ai [8] #machinelearning,#datascience [7] #cybersecurity,#bigdata [6] web,app [6] opencv,flask [6] deep,learning [6] tensorflow,opencv [6] detection,web Top Word Pairs in Tweet in G9:
[149] #bigdata,#analytics [130] #analytics,#datascience [121] #datascience,#ai [72] #pytorch,#python [68] #ai,#machinelearning [59] #machinelearning,#iot [57] #iot,#iiot [53] #ai,#pytorch [52] #python,#rstats [40] ingliguori,#bigdata Top Word Pairs in Tweet in G10:
[58] #bigdata,#analytics [44] #python,#tensorflow [44] #datascience,#bigdata [43] #digital,#python [42] #ai,#digital [42] #crypto,#innovation [42] #nftcommunity,#datascience [42] #ml,#ai [42] #analytics,#ml [40] breaking,#blockchain Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
Top Tweeters in G3:
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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: