The graph represents a network of 1,622 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, 29 September 2021 at 10:52 UTC.
The requested start date was Wednesday, 29 September 2021 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, 25-minute period from Sunday, 26 September 2021 at 13:25 UTC to Tuesday, 28 September 2021 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 : 1622
Unique Edges : 1162
Edges With Duplicates : 14590
Total Edges : 15752
Number of Edge Types : 5
Retweet : 6737
MentionsInRetweet : 7687
Tweet : 832
Mentions : 393
Replies to : 103
Self-Loops : 959
Reciprocated Vertex Pair Ratio : 0.00503597122302158
Reciprocated Edge Ratio : 0.0100214745884037
Connected Components : 135
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 1363
Maximum Edges in a Connected Component : 15415
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.612509
Graph Density : 0.00159398340675064
Modularity : 0.181312
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,622 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, 29 September 2021 at 10:52 UTC.
The requested start date was Wednesday, 29 September 2021 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, 25-minute period from Sunday, 26 September 2021 at 13:25 UTC to Tuesday, 28 September 2021 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:
[2325] #bigdata,#analytics [2018] #iot,#iiot [1978] #analytics,#datascience [1693] #pytorch,#python [1619] #datascience,#ai [1468] #machinelearning,#bigdata [1310] #dataanalytics,#machinelearning [1247] #ai,#machinelearning [1142] #python,#rstats [1004] #bigdata,#datascience Top Word Pairs in Tweet in G1:
[1602] #bigdata,#analytics [1340] #analytics,#datascience [1308] #iot,#iiot [1148] #pytorch,#python [1093] #machinelearning,#bigdata [1090] #datascience,#ai [1010] #dataanalytics,#machinelearning [860] #ai,#machinelearning [724] #python,#rstats [720] #bigdata,#datascience Top Word Pairs in Tweet in G2:
[348] #bigdata,#analytics [344] #analytics,#datascience [334] #iot,#iiot [260] #datascience,#ai [216] #ai,#machinelearning [210] #python,#rstats [197] #machinelearning,#iot [193] #pytorch,#python [172] #iiot,#pytorch [104] #rstats,#tensorflow Top Word Pairs in Tweet in G3:
[248] #pytorch,#python [218] #machinelearning,#bigdata [214] #dataanalytics,#machinelearning [212] #bigdata,#datascience [212] #datascience,#pytorch [158] #python,#tensorflow [140] #tensorflow,#javascript [80] #bigdata,#analytics [70] #analytics,#datascience [70] #iot,#iiot Top Word Pairs in Tweet in G4:
[61] machine,learning [30] example,app [30] optical,character [29] computer,vision [28] use,computer [28] vision,machine [28] learning,teach [28] teach,phones [28] phones,read [28] read,images Top Word Pairs in Tweet in G5:
[185] #analytics,#bigdata [179] #datascientists,#analytics [154] #programming,#datascientists [153] #datascience,#programming [130] #bigdata,#ai [110] #ai,#python [85] cheat,sheet [84] #machinelearning,#datascience [82] #python3,cheat [58] ingliguori,#datascience Top Word Pairs in Tweet in G6:
[18] tensorflow,keras [10] deep,learning [8] cve,2020 [8] leap,tensorflow [8] tensorflow,published [6] machine,learning [5] keras,tensorflow [4] #deeplearning,#learning [3] learning,tensorflow [3] learning,libraries Top Word Pairs in Tweet in G7:
[101] #iot,#iiot [60] #bigdata,#analytics [57] #analytics,#datascience [56] #ai,#100daysofcode [56] #python,#rstats [55] #100daysofcode,#femtech [55] #ar,#ml [54] #femtech,#ar [54] #ml,#analytics [51] #rstats,#reactjs Top Word Pairs in Tweet in G8:
[52] needs,math [52] math,class [52] class,done [52] done,semester [52] semester,hmu [52] hmu,betting [52] betting,straight [52] straight,one [52] one,#ai [52] #ai,#programming Top Word Pairs in Tweet in G9:
[76] #bigdata,#analytics [46] #machinelearning,#cybersecurity [43] #analytics,#frontend [42] #frontend,#machinelearning [40] full,stack [40] stack,developer [40] developer,skills [40] skills,breakdown [40] breakdown,cybercoders [40] cybercoders,#bigdata Top Word Pairs in Tweet in G10:
[82] #iot,#iiot [75] #rstats,#reactjs [70] #analytics,#machinelearning [70] #machinelearning,#ai [67] #reactjs,#iot [49] #iiot,#ml [47] #ai,#rstats [36] #ai,#python [36] #python,#rstats [33] #ml,#linux Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: