The graph represents a network of 17,497 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 Friday, 23 August 2019 at 08:52 UTC.
The tweets in the network were tweeted over the 1-day, 14-hour, 11-minute period from Wednesday, 21 August 2019 at 17:43 UTC to Friday, 23 August 2019 at 07:55 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 : 17497
Unique Edges : 31021
Edges With Duplicates : 295
Total Edges : 31316
Number of Edge Types : 4
Retweet : 16243
Tweet : 1234
Mentions : 13719
Replies to : 120
Self-Loops : 1252
Reciprocated Vertex Pair Ratio : 0.000333923264433833
Reciprocated Edge Ratio : 0.000667623593817805
Connected Components : 1093
Single-Vertex Connected Components : 922
Maximum Vertices in a Connected Component : 16065
Maximum Edges in a Connected Component : 29866
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.719198
Graph Density : 9.78579148417082E-05
Modularity : 0.253613
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[13296] united,states [13161] very,unfair [13123] unfair,united [13100] nato,very [1462] feelings,hurt [1462] hurt,re [1462] re,rage [1462] rage,tweeting [1462] tweeting,against [1462] against,allies Top Word Pairs in Tweet in G1:
[12948] united,states [12922] very,unfair [12921] unfair,united [12916] nato,very [71] realdonaldtrump,nato [41] defense,spending [32] died,afghanistan [31] many,#nato [31] #nato,countries [31] countries,increase Top Word Pairs in Tweet in G2:
[1431] feelings,hurt [1431] hurt,re [1431] re,rage [1431] rage,tweeting [1431] tweeting,against [1431] against,allies [1431] allies,wonderful [164] more,000 [95] united,states [87] rich,privileged Top Word Pairs in Tweet in G3:
[100] united,states [85] very,unfair [78] unfair,united [67] nato,very [45] realdonaldtrump,nato [21] defense,spending [11] spend,less [10] fair,share [10] mr,president [10] much,defense Top Word Pairs in Tweet in G4:
[333] mean,divided [333] divided,divided [333] divided,states [333] states,america [333] america,country [333] country,created [333] created,nato [333] nato,wistfully [333] wistfully,remembers [333] remembers,friends Top Word Pairs in Tweet in G5:
[16] united,states [9] very,unfair [9] unfair,united [6] nato,very [4] realdonaldtrump,potus [4] graph,shows [4] shows,allies [4] allies,moving [4] moving,towards [4] towards,commitment Top Word Pairs in Tweet in G6:
[101] sure,elite [101] elite,betters [101] betters,very [101] very,good [101] good,reasons [101] reasons,normal [101] normal,americans [101] americans,pay [101] pay,freight [101] freight,europeans Top Word Pairs in Tweet in G7:
[53] nato,doesn [53] doesn,make [53] make,blow [53] blow,690 [53] 690,billion [53] billion,year [53] year,welfare [53] welfare,raytheon [53] raytheon,pretty [53] pretty,much Top Word Pairs in Tweet in G8:
[48] trump,mucha [48] mucha,razón [48] razón,europeos [48] europeos,ninguna [48] ninguna,campo [48] campo,europeos [48] europeos,saben [48] saben,quieren [48] quieren,seguir [48] seguir,siendo Top Word Pairs in Tweet in G9:
[41] 一個動盪的世界即將來臨,南郭先生會死得很慘 [41] 南郭先生會死得很慘,中國的下場 [41] 中國的下場,只會比南斯拉夫和敘利亞更慘 [41] 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 [41] 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 Word Pairs in Tweet in G10:
[21] day,friend [21] friend,pointed [21] pointed,despite [21] despite,greece's [21] greece's,devastating [21] devastating,debt [21] debt,crisis [21] crisis,actually [21] actually,increased [21] increased,defense Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: