The graph represents a network of 17,851 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 50,000 tweets, tweeted between 1/1/2018 11:20:02 AM and 6/20/2023 11:20:02 AM. The network was obtained from Twitter on Tuesday, 20 June 2023 at 19:53 UTC.
The tweets in the network were tweeted over the 3817-day, 19-hour, 16-minute period from Saturday, 05 January 2013 at 22:56 UTC to Tuesday, 20 June 2023 at 18:12 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.
Vertices : 17851
Unique Edges : 18583
Edges With Duplicates : 164702
Total Edges : 183285
Number of Edge Types : 9
Retweet : 28473
MentionsInRetweet : 67679
Replies to : 7592
MentionsInReplyTo : 27112
Tweet : 4494
Mentions : 41694
Quote : 1071
MentionsInQuote : 2186
MentionsInQuoteReply : 2984
Self-Loops : 42373
Reciprocated Vertex Pair Ratio : 0.0691911541956983
Reciprocated Edge Ratio : 0.129427098090327
Connected Components : 2274
Single-Vertex Connected Components : 1139
Maximum Vertices in a Connected Component : 12463
Maximum Edges in a Connected Component : 172183
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.489552
Graph Density : 0.000110764377455649
Modularity : 0.168667
NodeXL Version : 1.0.1.516
Data Import : The graph represents a network of 17,851 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 50,000 tweets, tweeted between 1/1/2018 11:20:02 AM and 6/20/2023 11:20:02 AM. The network was obtained from Twitter on Tuesday, 20 June 2023 at 19:53 UTC.
The tweets in the network were tweeted over the 3817-day, 19-hour, 16-minute period from Saturday, 05 January 2013 at 22:56 UTC to Tuesday, 20 June 2023 at 18:12 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[25744] #healthtech,#smartcity [25734] #datascientist,#csuite [25731] #csuite,#digitalhealth [25726] #digitalhealth,#web3 [25710] #web3,#cx [25666] #cx,#ehealth [21930] #ehealth,#finserv [17190] #smartcity,#datascientist [11639] chidambara09,#healthtech [10844] #insurtech,#nodexl Top Word Pairs in Tweet in G1:
[25743] #healthtech,#smartcity [25734] #datascientist,#csuite [25731] #csuite,#digitalhealth [25726] #digitalhealth,#web3 [25710] #web3,#cx [25666] #cx,#ehealth [21930] #ehealth,#finserv [17189] #smartcity,#datascientist [11639] chidambara09,#healthtech [10843] #insurtech,#nodexl Top Word Pairs in Tweet in G2:
[290] bayar,pajek [103] bayar,pajak [95] mbayar,pajek [59] duit,pajek [49] wong,pajek [44] kena,pajek [42] sri,mulyani [37] pegawe,pajek [36] pajek,rakyat [32] rafael,alun Top Word Pairs in Tweet in G3:
[104] bayar,pajek [82] #memgraph,graphdatabases [82] #database,#memgraphdb [65] pajek,motor [55] #memgraphdb,#graphdatabase [46] nodexl,insights [42] python,networkx [41] insights,networks [40] using,nodexl [38] #memgraph,#database Top Word Pairs in Tweet in G4:
[194] nycmwbe,afrotech [181] startupweekend,nycmwbe [180] sabakarim,techstars [180] afrotech,ggvcapital [180] techstars,startupweekend [180] cordelrob,davidcohen [180] ggvcapital,jewelmelanie [180] davidcohen,sabakarim [152] motorious_moto,cordelrob [86] jewelmelanie,googlebaseca Top Word Pairs in Tweet in G5:
[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 G6:
[480] lho,lho [242] debt,collector [240] pajak,kok [240] jingan,nek [240] pajek,ngalah2i [240] tinggi,pajak [240] nek,narik [240] barange,bodong [240] piye,woooo [240] kok,barange Top Word Pairs in Tweet in G7:
[102] zaccheryjacob,pajek [42] zaccheryjacob,knoxjaeger [41] zaccheryjacob,1990cme [31] sama,pajek [23] knoxjaeger,zaccheryjacob [22] pajek,zaccheryjacob [21] ke,pajek [19] jane,cerita [19] john,ke [19] pajek,sama Top Word Pairs in Tweet in G8:
[47] top,hashtags [7] hashtags,#saamelaiskäräjälaki [6] #saamelaiskäräjälaki,#saamelaiset [6] mspowerbi,gephi [5] gretathunberg,barackobama [5] cop26,gretathunberg [5] barackobama,unfccc [5] nodexl,metsahallitus [5] top,#influencers [5] #influencers,#cop26 Top Word Pairs in Tweet in G9:
[336] 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 G10:
[460] #tigraygenocide,#declaretigrayfamine [458] #declaretigrayfamine,#justice4tigray [303] eu_eeas,nodexl [290] #justice4tigray,#tigray [271] nodexl,#tigraygenocide [191] top,hashtags [187] hashtags,#tigraygenocide [185] top,influencers [185] ranked,dawitdigital [185] ohhhh,top Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: