The graph represents a network of 3,037 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 Thursday, 07 November 2019 at 16:20 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 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 2-day, 6-hour, 31-minute period from Sunday, 03 November 2019 at 18:29 UTC to Wednesday, 06 November 2019 at 01:01 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 : 3037
Unique Edges : 4439
Edges With Duplicates : 2589
Total Edges : 7028
Number of Edge Types : 3
Mentions : 5474
Tweet : 1321
Replies to : 233
Self-Loops : 1321
Reciprocated Vertex Pair Ratio : 0.0216063879755754
Reciprocated Edge Ratio : 0.0422988505747126
Connected Components : 467
Single-Vertex Connected Components : 332
Maximum Vertices in a Connected Component : 2231
Maximum Edges in a Connected Component : 6087
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.10433
Graph Density : 0.000471783445541874
Modularity : 0.537478
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,037 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 Thursday, 07 November 2019 at 16:20 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 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 2-day, 6-hour, 31-minute period from Sunday, 03 November 2019 at 18:29 UTC to Wednesday, 06 November 2019 at 01:01 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[906] #bigdata,#analytics [870] #datascience,#ai [794] #analytics,#datascience [794] #ai,#machinelearning [640] #machinelearning,#iot [581] #iot,#iiot [488] source,separation [467] open,source [425] deep,learning [391] state,art Top Word Pairs in Tweet in G1:
[351] music,source [351] source,separation [349] state,art [348] team,deezer [348] deezer,released [348] released,#spleeter [348] #spleeter,python [348] python,music [348] separation,library [348] library,state Top Word Pairs in Tweet in G2:
[876] #bigdata,#analytics [840] #datascience,#ai [769] #analytics,#datascience [760] #ai,#machinelearning [620] #machinelearning,#iot [565] #iot,#iiot [338] #iiot,#pytorch [242] #pytorch,#python [233] machine,learning [206] #deeplearning,#machinelearning Top Word Pairs in Tweet in G3:
[78] score,0 [76] cat,score [65] open,source [65] isolates,vocals [64] vocals,song [63] tool,quickly [63] quickly,isolates [62] ai,tool [61] source,ai [48] tensorflow,1 Top Word Pairs in Tweet in G4:
[44] tensorflow,blog [39] dev,summit [39] summit,19 [37] tensorflow,tensorflow [37] blog,moving [37] moving,medium [37] medium,server [37] server,thanks [37] thanks,readers [37] readers,guest Top Word Pairs in Tweet in G5:
[156] new,blazingly [156] blazingly,fast [156] fast,open [156] open,source [156] source,library [156] library,isolates [156] isolates,vocals [156] vocals,music [156] music,built [156] built,tensorflow Top Word Pairs in Tweet in G6:
[107] deep,learning [104] source,separation [102] spleeter,amazing [102] amazing,open [102] open,source [102] source,project [102] project,deezer [102] deezer,french [102] french,spotify [102] spotify,uses Top Word Pairs in Tweet in G7:
[103] 2,0 [101] new,tutorial [101] #tensorflow,2 [99] pyimagesearch,new [98] tutorial,traffic [98] traffic,sign [98] sign,classification [98] classification,#keras [98] #keras,#tensorflow [97] 0,95 Top Word Pairs in Tweet in G8:
[91] open,source [87] tool,quickly [87] quickly,isolates [87] isolates,vocals [87] vocals,song [85] source,ai [85] ai,tool [70] verge,open [11] deep,learning [10] song,verge Top Word Pairs in Tweet in G9:
[84] เช,น [84] เข,ยน [83] wirojlak,นอกจากภาษาแล [83] นอกจากภาษาแล,วถ [83] วถ,าม [83] าม,hard [83] hard,skills [83] skills,เก [83] เก,ยวกะพวก [83] ยวกะพวก,data Top Word Pairs in Tweet in G10:
[20] tensorflow,blog [19] okay,new [19] new,tensorflow [19] blog,looking [19] looking,good [19] good,it'll [19] it'll,bit [19] bit,work [19] work,transitioning [19] transitioning,ton 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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