The graph represents a network of 14,268 Twitter users whose recent tweets contained "NetworkX OR graph-tool OR statnet OR Gephi OR Pajek OR NetworKit OR NodeXL OR SocNetV OR graphlayouts OR textnets", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2022 6:15:34 AM and 6/21/2023 6:15:34 AM. The network was obtained from Twitter on Wednesday, 21 June 2023 at 13:59 UTC.
The tweets in the network were tweeted over the 3241-day, 23-hour, 42-minute period from Tuesday, 05 August 2014 at 12:54 UTC to Wednesday, 21 June 2023 at 12:37 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 : 14268
Unique Edges : 14157
Edges With Duplicates : 77707
Total Edges : 91864
Number of Edge Types : 9
Replies to : 5700
MentionsInReplyTo : 20034
MentionsInQuote : 1855
Quote : 883
Retweet : 11424
MentionsInRetweet : 38003
Tweet : 3493
Mentions : 7693
MentionsInQuoteReply : 2779
Self-Loops : 10778
Reciprocated Vertex Pair Ratio : 0.0674304809643155
Reciprocated Edge Ratio : 0.12634168157424
Connected Components : 1762
Single-Vertex Connected Components : 831
Maximum Vertices in a Connected Component : 10043
Maximum Edges in a Connected Component : 83344
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.899147
Graph Density : 0.000131812708289575
Modularity : 0.256332
NodeXL Version : 1.0.1.516
Data Import : The graph represents a network of 14,268 Twitter users whose recent tweets contained "NetworkX OR graph-tool OR statnet OR Gephi OR Pajek OR NetworKit OR NodeXL OR SocNetV OR graphlayouts OR textnets", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2022 6:15:34 AM and 6/21/2023 6:15:34 AM. The network was obtained from Twitter on Wednesday, 21 June 2023 at 13:59 UTC.
The tweets in the network were tweeted over the 3241-day, 23-hour, 42-minute period from Tuesday, 05 August 2014 at 12:54 UTC to Wednesday, 21 June 2023 at 12:37 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 : NetworkX OR graph-tool OR statnet OR Gephi OR Pajek OR NetworKit OR NodeXL OR SocNetV OR graphlayouts OR textnets
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:
[1985] #healthtech,#smartcity [1985] #digitalhealth,#web3 [1984] #datascientist,#csuite [1984] #web3,#cx [1982] #csuite,#digitalhealth [1971] #cx,#ehealth [1968] #smartcity,#5g [1962] #5g,#datascientist [1936] #vive2023,#healthtech [1331] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[1985] #healthtech,#smartcity [1985] #digitalhealth,#web3 [1984] #datascientist,#csuite [1984] #web3,#cx [1982] #csuite,#digitalhealth [1971] #cx,#ehealth [1968] #smartcity,#5g [1962] #5g,#datascientist [1936] #vive2023,#healthtech [1331] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[239] bayar,pajek [94] bayar,pajak [88] mbayar,pajek [43] duit,pajek [43] wong,pajek [41] sri,mulyani [35] kena,pajek [33] pajek,rakyat [32] kemenkeuri,jokowi [32] pegawe,pajek Top Word Pairs in Tweet in G3:
[76] bayar,pajek [57] #memgraph,graphdatabases [57] #database,#memgraphdb [48] pajek,motor [37] nodexl,insights [36] insights,networks [35] using,nodexl [30] python,networkx [29] #memgraphdb,#graphdatabase [28] #memgraph,#graphdatabase Top Word Pairs in Tweet in G4:
[154] nycmwbe,afrotech [144] sabakarim,techstars [144] afrotech,ggvcapital [144] techstars,startupweekend [144] cordelrob,davidcohen [144] ggvcapital,jewelmelanie [144] davidcohen,sabakarim [144] startupweekend,nycmwbe [118] motorious_moto,cordelrob [70] slackapi,slackstatus Top Word Pairs in Tweet in G5:
[474] lho,lho [239] debt,collector [237] narik,pajek [237] pajak,kok [237] pejabat,tinggi [237] barange,bodong [237] piye,woooo [237] lho,pejabat [237] tinggi,pajak [237] ki,piye Top Word Pairs in Tweet in G6:
[339] bayar,pajek [322] meh,bayar [322] pajek,tapi [321] ikhlas,ndelok [321] tapi,rodo [321] tepat,sasaran [321] rodo,ra [321] ndelok,uang [321] ngono,ra [321] pajek,malah Top Word Pairs in Tweet in G7:
[295] datangkep,polisi [295] pupuk,larang [295] kimia,sintetis [295] piye,jal [295] polisi,ijin [295] dewe,datangkep [295] ijin,produksi [295] larang,lagian [295] jal,rego [295] gave,dewe Top Word Pairs in Tweet in G8:
[460] #tigraygenocide,#declaretigrayfamine [458] #declaretigrayfamine,#justice4tigray [303] eu_eeas,nodexl [290] #justice4tigray,#tigray [271] nodexl,#tigraygenocide [191] top,hashtags [187] hashtags,#tigraygenocide [185] influencers,ranked [185] ranked,dawitdigital [185] ohhhh,top Top Word Pairs in Tweet in G9:
[160] dibayar,pakai [159] pajek,terus [159] sontoloyo,ada [159] lain,yg [159] suka,pamer [159] terus,mau [159] ada,pegawe [159] bunuh,rakyat [159] pakai,pajek [159] rakyat,belum Top Word Pairs in Tweet in G10:
[27] top,hashtags [6] hashtags,#saamelaiskäräjälaki [5] gretathunberg,barackobama [5] cop26,gretathunberg [5] barackobama,unfccc [5] top,#influencers [5] #influencers,#cop26 [5] nodexl,cop26 [5] #cop26,nodexl [5] unfccc,nicolasturgeon Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: