The graph represents a network of 16,258 Twitter users whose recent tweets contained "1164231651351617536", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 22 August 2019 at 16:36 UTC.
The tweets in the network were tweeted over the 21-hour, 16-minute period from Wednesday, 21 August 2019 at 17:43 UTC to Thursday, 22 August 2019 at 15:00 UTC.
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 : 16258
Unique Edges : 28834
Edges With Duplicates : 364
Total Edges : 29198
Number of Edge Types : 4
Retweet : 15043
Mentions : 12810
Replies to : 150
Tweet : 1195
Self-Loops : 1210
Reciprocated Vertex Pair Ratio : 0.000539238595103714
Reciprocated Edge Ratio : 0.00107789594711124
Connected Components : 1041
Single-Vertex Connected Components : 882
Maximum Vertices in a Connected Component : 14908
Maximum Edges in a Connected Component : 27804
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.704864
Graph Density : 0.000105302065702511
Modularity : 0.254497
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[12358] united,states [12229] very,unfair [12194] unfair,united [12174] nato,very [1371] feelings,hurt [1371] hurt,re [1371] re,rage [1371] rage,tweeting [1371] tweeting,against [1371] against,allies Top Word Pairs in Tweet in G1:
[12037] united,states [12011] very,unfair [12009] unfair,united [12001] nato,very [78] realdonaldtrump,nato [36] defense,spending [31] nato,merkel [31] merkel,germany [31] germany,building [31] building,nord Top Word Pairs in Tweet in G2:
[1340] feelings,hurt [1340] hurt,re [1340] re,rage [1340] rage,tweeting [1340] tweeting,against [1340] against,allies [1340] allies,wonderful [160] more,000 [99] united,states [85] nato,countries Top Word Pairs in Tweet in G3:
[100] united,states [84] very,unfair [78] unfair,united [67] nato,very [45] realdonaldtrump,nato [19] defense,spending [10] spend,less [10] much,defense [10] spend,much [9] fair,share Top Word Pairs in Tweet in G4:
[292] mean,divided [292] divided,divided [292] divided,states [292] states,america [292] america,country [292] country,created [292] created,nato [292] nato,wistfully [292] wistfully,remembers [292] remembers,friends Top Word Pairs in Tweet in G5:
[12] united,states [7] very,unfair [7] unfair,united [5] nato,very [4] graph,shows [4] shows,allies [4] allies,moving [4] moving,towards [4] towards,commitment [4] commitment,2024 Top Word Pairs in Tweet in G6:
[100] sure,elite [100] elite,betters [100] betters,very [100] very,good [100] good,reasons [100] reasons,normal [100] normal,americans [100] americans,pay [100] pay,freight [100] freight,europeans Top Word Pairs in Tweet in G7:
[38] way,read [38] read,graph [38] graph,argument [38] argument,bring [38] bring,down [38] down,vast [38] vast,defense [38] defense,spending [38] spending,same [38] same,percentage Top Word Pairs in Tweet in G8:
[72] rich,privileged [72] privileged,white [72] white,guy [72] guy,shits [72] shits,golden [72] golden,toilet [72] toilet,explains [72] explains,world [72] world,fair [4] feelings,hurt Top Word Pairs in Tweet in G9:
[47] trump,mucha [47] mucha,razón [47] razón,europeos [47] europeos,ninguna [47] ninguna,campo [47] campo,europeos [47] europeos,saben [47] saben,quieren [47] quieren,seguir [47] seguir,siendo Top Word Pairs in Tweet in G10:
[39] 一個動盪的世界即將來臨,南郭先生會死得很慘 [39] 南郭先生會死得很慘,中國的下場 [39] 中國的下場,只會比南斯拉夫和敘利亞更慘 [39] 只會比南斯拉夫和敘利亞更慘,華人的所有看家本領都是秩序寄生蟲類型的 [39] 華人的所有看家本領都是秩序寄生蟲類型的,經過這場風暴就會只剩下幾片支離破碎的首坨羅飛地了 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: