The graph represents a network of 77 Twitter users whose tweets in the requested range contained "tensorflowjs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 April 2022 at 03:50 UTC.
The requested start date was Sunday, 10 April 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 10-day, 14-hour, 19-minute period from Sunday, 27 March 2022 at 02:16 UTC to Wednesday, 06 April 2022 at 16:35 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 : 77
Unique Edges : 39
Edges With Duplicates : 148
Total Edges : 187
Number of Edge Types : 5
Retweet : 64
MentionsInRetweet : 86
Tweet : 19
Replies to : 6
Mentions : 12
Self-Loops : 19
Reciprocated Vertex Pair Ratio : 0.032258064516129
Reciprocated Edge Ratio : 0.0625
Connected Components : 10
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 51
Maximum Edges in a Connected Component : 139
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.903769
Graph Density : 0.0164046479835954
Modularity : 0.4189
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 77 Twitter users whose tweets in the requested range contained "tensorflowjs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 April 2022 at 03:50 UTC.
The requested start date was Sunday, 10 April 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 10-day, 14-hour, 19-minute period from Sunday, 27 March 2022 at 02:16 UTC to Wednesday, 06 April 2022 at 16:35 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 : tensorflowjs
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:
[35] tensorflow,js [17] next,gen [17] gen,web [17] web,apps [16] create,next [16] edx,course [15] apps,using [14] donâ,miss [14] miss,chance [14] chance,learn Top Word Pairs in Tweet in G1:
[11] tensorflow,js [8] tensorflowjs,blog [8] blog,learn [8] learn,linkedin [8] linkedin,personalized [8] personalized,performance [8] performance,millions [8] millions,users [8] users,#madewithtfjs [7] jason_mayes,tensorflowjs Top Word Pairs in Tweet in G2:
[14] tensorflow,js [13] create,next [13] next,gen [13] gen,web [13] web,apps [12] donâ,miss [12] miss,chance [12] chance,learn [12] learn,create [12] apps,using Top Word Pairs in Tweet in G3:
[8] ok,million [8] million,dollar [8] dollar,question [8] question,1950 [8] 1950,census [8] census,we've [8] we've,000 [8] 000,000 [8] 000,images [8] images,shared Top Word Pairs in Tweet in G4:
[6] thesequenceai,harvard [6] harvard,#tensorflowjs [6] #tensorflowjs,#python [6] #python,#pydata [6] #pydata,#julialang [6] #julialang,#ai [6] #ai,#machinelearning [6] #machinelearning,#dataviz [6] #dataviz,#openscience [6] #openscience,#opendata Top Word Pairs in Tweet in G5:
[5] object,detection [3] iâ,trying [3] trying,find [3] find,benchmarks [3] benchmarks,object [3] detection,tracking [3] tracking,tensorflowjs [3] tensorflowjs,anyone [3] anyone,know [3] know,bonus Top Word Pairs in Tweet in G6:
[9] google,ai [9] ai,javascript [9] javascript,developers [9] developers,tensorflow [9] tensorflow,js [9] js,#javascript [3] javascriptflx,google Top Word Pairs in Tweet in G9:
[2] need,#datascientist [2] #datascientist,create [2] create,#datascience [2] #datascience,products [2] products,edx [2] edx,course [2] course,#tensorflow [2] #tensorflow,js Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: