The graph represents a network of 2,441 Twitter users whose recent tweets contained "tensorflow", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 2130-day, 3-hour, 20-minute period from Sunday, 07 May 2017 at 21:39 UTC to Wednesday, 08 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2441
Unique Edges : 864
Edges With Duplicates : 9331
Total Edges : 10195
Number of Edge Types : 9
Retweet : 3807
MentionsInRetweet : 4270
Replies to : 258
Tweet : 1112
MentionsInReplyTo : 393
Quote : 31
MentionsInQuote : 82
Mentions : 224
MentionsInQuoteReply : 18
Self-Loops : 1521
Reciprocated Vertex Pair Ratio : 0.0173857050869285
Reciprocated Edge Ratio : 0.0341772151898734
Connected Components : 292
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 1888
Maximum Edges in a Connected Component : 9171
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.997794
Graph Density : 0.000530553857932452
Modularity : 0.280369
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,441 Twitter users whose recent tweets contained "tensorflow", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 11:32 UTC.
The tweets in the network were tweeted over the 2130-day, 3-hour, 20-minute period from Sunday, 07 May 2017 at 21:39 UTC to Wednesday, 08 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[2319] #bigdata,#analytics [1565] #python,#rstats [1446] #analytics,#datascience [1306] #iot,#iiot [1106] #datascience,#ai [1075] #iiot,#python [1075] #ai,#machinelearning [916] #rstats,#tensorflow [869] #machinelearning,#iot [865] #analytics,#ai Top Word Pairs in Tweet in G1:
[427] step,data [426] syntax,basic [426] structures,step [426] programming,concepts [426] data,structures [426] oop,step [426] concepts,step [426] file,handling [426] 101,step [426] step,file Top Word Pairs in Tweet in G2:
[1153] #bigdata,#analytics [783] #python,#rstats [650] #analytics,#ai [584] #iiot,#python [556] #rstats,#tensorflow [529] #analytics,#datascience [484] #iot,#iiot [466] #ai,#iiot [442] #cybersecurity,#bigdata [436] #datascience,#ai Top Word Pairs in Tweet in G3:
[852] #bigdata,#analytics [820] #analytics,#datascience [689] #iot,#iiot [647] #python,#rstats [589] #datascience,#ai [542] #ai,#machinelearning [445] #pytorch,#python [441] #iiot,#pytorch [430] #machinelearning,#iot [302] #iiot,#python Top Word Pairs in Tweet in G4:
[57] #ai,#machinelearning [38] #machinelearning,#datascience [29] machine,learning [28] #datascience,#analytics [28] #rstats,#tensorflow [24] #python,#rstats [23] #bigdata,#analytics [22] app,link [21] deep,learning [20] #nodejs,#techforgood Top Word Pairs in Tweet in G5:
[50] machine,learning [49] simple,ml [43] make,predictions [43] ml,never [43] predictions,spot [43] never,simple [43] learning,make [43] ml,leverages [43] leverages,simplifies [43] simple,simple Top Word Pairs in Tweet in G6:
[199] #bigdata,#analytics [151] #cybersecurity,#bigdata [150] #machinelearning,#datascience [148] #datascience,#sql [147] #sql,#cybersecurity [140] #ai,#iiot [140] #iiot,#python [140] #analytics,#ai [83] layers,software [83] five,layers Top Word Pairs in Tweet in G7:
[77] deep,learning [68] neural,networks [65] tensorflow,keras [63] keras,deep [63] code,lab [63] free,code [63] learning,without [63] networks,build [62] lab,tensorflow [62] ph,learn Top Word Pairs in Tweet in G8:
[34] #tech,#softwareengineer [34] #softwareengineer,#jobs [25] software,engineer [23] engineer,usd [21] machine,learning [21] #bigdata,#analytics [20] hiring,senior [16] #cybersecurity,#bigdata [16] #ai,#iiot [16] #analytics,#ai Top Word Pairs in Tweet in G9:
[53] machine,learning [28] learning,repo [28] put,code [28] tutorials,find [28] find,pytorch [28] github,put [28] repo,github [28] twitter,tutorials [28] code,twitter [27] pytorch,tensor Top Word Pairs in Tweet in G10:
[43] tensorflow,gone [42] daun_io,tensorflow [3] vs,tensorflow [3] assemblyai,pytorch [3] tensorflow,still [3] written,assemblyai [3] more,data [3] data,great [3] pytorch,vs [3] 2023,tensorflow Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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Top Tweeters in G9:
Top Tweeters in G10: