The graph represents a network of 15,072 Twitter users whose recent tweets contained "Michael Cohen", 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, 14 August 2020 at 19:43 UTC.
The tweets in the network were tweeted over the 6-hour, 12-minute period from Friday, 14 August 2020 at 12:40 UTC to Friday, 14 August 2020 at 18:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 15072
Unique Edges : 24782
Edges With Duplicates : 2475
Total Edges : 27257
Number of Edge Types : 5
Retweet : 14962
MentionsInRetweet : 5725
Replies to : 2826
Mentions : 2078
Tweet : 1666
Self-Loops : 1761
Reciprocated Vertex Pair Ratio : 0.00131551901336074
Reciprocated Edge Ratio : 0.00262758139343926
Connected Components : 1135
Single-Vertex Connected Components : 766
Maximum Vertices in a Connected Component : 13061
Maximum Edges in a Connected Component : 25123
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.30114
Graph Density : 0.000107228650629061
Modularity : 0.707982
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 15,072 Twitter users whose recent tweets contained "Michael Cohen", 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, 14 August 2020 at 19:43 UTC.
The tweets in the network were tweeted over the 6-hour, 12-minute period from Friday, 14 August 2020 at 12:40 UTC to Friday, 14 August 2020 at 18:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : Michael Cohen
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:
[12014] michael,cohen [4603] michael,cohen's [3047] donald,trump [2449] golden,showers [2077] cohen's,book [1963] cohen,book [1549] read,michael [1402] maddow,read [1314] book,details [1303] cohen's,sad Top Word Pairs in Tweet in G1:
[2628] michael,cohen [908] delivered,checks [907] keith,schiller [899] cohen,knows [890] book,maybe [889] knows,delivered [889] checks,nda [889] nda,women [889] sexually,assaulted [888] abortion,payments Top Word Pairs in Tweet in G2:
[1233] michael,cohen's [1220] maddow,read [1213] read,michael [1180] donald,trump [1148] book,details [1144] cohen's,sad [1144] sad,tawdry [1144] tawdry,book [1144] details,low [1144] low,country Top Word Pairs in Tweet in G3:
[1088] michael,cohen [335] cohen,book [298] donald,trump [261] trump,cheated [258] cheated,2016 [254] personal,attorney [234] michael,cohen's [231] alleges,trump [230] face,prison [230] prison,time Top Word Pairs in Tweet in G4:
[905] michael,cohen's [862] manhattan,vance [862] vance,suggests [862] suggests,legal [862] legal,brief [862] brief,probe [862] probe,far [862] far,broader [862] broader,michael [862] cohen's,2016 Top Word Pairs in Tweet in G5:
[1601] michael,cohen [734] back,channel [732] vladimir,putin [485] cohen,released [485] upcoming,book [479] sexual,infidelities [477] released,forward [477] forward,upcoming [477] book,working [477] working,president Top Word Pairs in Tweet in G6:
[582] michael,cohen [127] cohen,book [87] tell,book [71] michael,cohen's [67] leave,office [64] cohen,releases [60] golden,showers [58] office,peacefully' [55] donald,trump [52] skeletons,buried Top Word Pairs in Tweet in G7:
[514] bad,guys [495] michael,cohen [268] #urinetroubletrump,#goldenshowerstrump [257] anyone,law [257] law,enforcement [257] enforcement,tell [257] tell,gangsters [257] gangsters,reveal [257] reveal,secrets [257] secrets,organized Top Word Pairs in Tweet in G8:
[544] michael,cohen [200] hush,money [119] back,channel [112] secret,back [103] cohen,corroborating [103] corroborating,christopher [103] christopher,steele [103] steele,trump [103] trump,enjoyed [103] enjoyed,golden Top Word Pairs in Tweet in G9:
[378] michael,cohen [221] donald,trump [212] upcoming,book [208] trump,cheated [207] cheated,2016 [205] worked,close [204] cohen,alleges [204] alleges,donald [204] 2016,presidential [204] presidential,election Top Word Pairs in Tweet in G10:
[328] golden,showers [300] michael,cohen's [288] cohen's,book [168] reporters,start [168] start,asking [168] asking,stupid [168] stupid,lying [168] lying,ass [168] ass,golden [168] showers,michael Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: