The graph represents a network of 2,804 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, 02 September 2020 at 10:51 UTC.
The requested start date was Wednesday, 02 September 2020 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 3-day, 16-hour, 42-minute period from Saturday, 29 August 2020 at 05:05 UTC to Tuesday, 01 September 2020 at 21:48 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 : 2804
Unique Edges : 1730
Edges With Duplicates : 13477
Total Edges : 15207
Number of Edge Types : 5
Mentions : 936
Replies to : 176
Retweet : 6072
MentionsInRetweet : 6796
Tweet : 1227
Self-Loops : 1365
Reciprocated Vertex Pair Ratio : 0.0121121971950701
Reciprocated Edge Ratio : 0.0239344950661348
Connected Components : 336
Single-Vertex Connected Components : 214
Maximum Vertices in a Connected Component : 2173
Maximum Edges in a Connected Component : 14225
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.009234
Graph Density : 0.000606009558741577
Modularity : 0.264771
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,804 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, 02 September 2020 at 10:51 UTC.
The requested start date was Wednesday, 02 September 2020 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 3-day, 16-hour, 42-minute period from Saturday, 29 August 2020 at 05:05 UTC to Tuesday, 01 September 2020 at 21:48 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:
[3312] #bigdata,#analytics [2923] #analytics,#datascience [2837] #iot,#iiot [2271] #python,#rstats [1860] #datascience,#ai [1485] #ai,#machinelearning [1399] #rstats,#tensorflow [1316] #iiot,#python [1285] #machinelearning,#iot [901] #iiot,#pytorch Top Word Pairs in Tweet in G1:
[2379] #bigdata,#analytics [2088] #analytics,#datascience [1872] #iot,#iiot [1543] #python,#rstats [1342] #datascience,#ai [980] #rstats,#tensorflow [944] #ai,#machinelearning [871] #machinelearning,#iot [846] #iiot,#python [650] #iiot,#pytorch Top Word Pairs in Tweet in G2:
[48] supernovae,detection [39] learn,more [39] #iot,#iiot [36] #bigdata,#analytics [35] #analytics,#datascience [33] lite,micro [33] micro,support [33] support,#esp32 [32] working,tensorflow [31] announcing,cool Top Word Pairs in Tweet in G3:
[568] #bigdata,#analytics [549] #iot,#iiot [509] #analytics,#datascience [454] #python,#rstats [310] #datascience,#ai [289] #iiot,#python [269] #rstats,#tensorflow [256] #machinelearning,#iot [245] #ai,#machinelearning [161] #datascience,#iot Top Word Pairs in Tweet in G4:
[242] cat,score [149] cat,recognition [149] recognition,tensorflow [149] tensorflow,10 [140] tabby,tabby [140] tabby,cat [129] 10,tabby [55] tiger,cat [41] egyptian,cat [26] tensorflow,js Top Word Pairs in Tweet in G5:
[73] #bigdata,#analytics [61] #analytics,#datascience [51] #iot,#iiot [48] machine,learning [46] #python,#rstats [44] bylilyv,#featured [44] #featured,#courses [44] #courses,#data [44] #data,#science [44] #science,course Top Word Pairs in Tweet in G6:
[149] top,10 [140] 10,#artificialintelligence [140] #artificialintelligence,#softwares [140] #softwares,know [140] know,dataflairws [131] dataflairws,ingliguori [117] ingliguori,#innovation [115] ingliguori,top [90] #iot,#iiot [88] #bigdata,#analytics Top Word Pairs in Tweet in G7:
[121] machine,learning [35] learning,tensorflow [32] deep,learning [26] tensorflow,lite [25] #bigdata,#analytics [24] #analytics,#datascience [24] #iot,#iiot [19] #machinelearning,#ad [18] #python,#rstats [16] tensorflow,js Top Word Pairs in Tweet in G8:
[184] #iot,#iiot [128] #ai,#machinelearning [117] #bigdata,#analytics [110] #analytics,#datascience [94] #python,#rstats [72] explore,latest [72] latest,#ai [72] #machinelearning,best [72] best,sellers [72] sellers,#iotpl Top Word Pairs in Tweet in G9:
[20] tf,coder [20] coder,helps [20] helps,write [20] write,tensorflow [20] tensorflow,code [20] code,looking [20] looking,examples [20] examples,natural [20] natural,language [20] language,descriptions Top Word Pairs in Tweet in G10:
[38] #ai,#machinelearning [35] #machinelearning,#deeplearning [31] lightning,fast [31] fast,introduction [31] introduction,deep [31] deep,learning [31] learning,tensorflow [31] tensorflow,#ai [30] miketamir,lightning [29] ocr,handwriting 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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