The graph represents a network of 3,339 Twitter users whose recent tweets contained ""National Review"", 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, 13 May 2021 at 15:56 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 23-minute period from Wednesday, 05 May 2021 at 21:22 UTC to Thursday, 13 May 2021 at 15:46 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 : 3357
Unique Edges : 3963
Edges With Duplicates : 7877
Total Edges : 11840
Number of Edge Types : 5
Mentions : 6681
Replies to : 1704
Tweet : 1344
Retweet : 1714
MentionsInRetweet : 397
Self-Loops : 1351
Reciprocated Vertex Pair Ratio : 0.0610066090493137
Reciprocated Edge Ratio : 0.114997604216579
Connected Components : 745
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 1714
Maximum Edges in a Connected Component : 5780
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.72817
Graph Density : 0.000370492270079101
Modularity : 0.35219
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,339 Twitter users whose recent tweets contained ""National Review"", 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, 13 May 2021 at 15:56 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 23-minute period from Wednesday, 05 May 2021 at 21:22 UTC to Thursday, 13 May 2021 at 15:46 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 : "National Review"
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:
[3314] national,review [541] review,editors [528] isn,cheney [493] obviously,true [492] true,statements [491] statements,controversial [489] republicans,consider [489] consider,obviously [487] cheney,making [487] making,controversial Top Word Pairs in Tweet in G1:
[485] national,review [471] problem,isn [471] isn,cheney [471] cheney,making [471] making,controversial [471] controversial,statements [471] statements,problem [471] problem,republicans [471] republicans,consider [471] consider,obviously Top Word Pairs in Tweet in G2:
[655] national,review [33] liz,cheney [30] word,true [29] rebekah,jones's [29] jones's,florida [29] florida,covid [29] covid,data [29] data,conspiracy [29] conspiracy,word [28] true,national Top Word Pairs in Tweet in G3:
[280] national,review [48] rudy,giuliani [46] andrewcmccarthy,usual [46] usual,spot [46] spot,analysis [46] analysis,rudy [46] giuliani,raid [46] raid,shows [46] shows,politicized [46] politicized,biden Top Word Pairs in Tweet in G4:
[203] national,review [29] benyt,jaketapper [19] right,wing [18] far,right [16] claremalone,redistrict [16] rebekah,jones [13] outlet,national [13] climate,denial [11] jebbush,national [9] benyt,personnel Top Word Pairs in Tweet in G5:
[113] national,review [97] twitter,letting [97] letting,iran's [97] iran's,ayatollah [97] ayatollah,khamenei [97] khamenei,incite [97] incite,rocket [97] rocket,attacks [97] attacks,israeli [97] israeli,civilians Top Word Pairs in Tweet in G6:
[96] national,review [90] heat,rand [90] rand,paul [90] paul,urges [90] urges,fauci [90] fauci,abandon [90] abandon,gain [90] gain,function [90] function,research [90] research,citing Top Word Pairs in Tweet in G7:
[81] national,review [31] rebekah,jones [30] jones,michael [30] michael,avenatti [30] avenatti,covid [30] covid,one [30] one,biggest [30] biggest,platforms [30] platforms,received [30] received,multiple Top Word Pairs in Tweet in G8:
[77] national,review [14] rebekah,jones [7] guypbenson,charlescwcooke [6] benshapiro,national [5] review,seriously [5] charlescwcooke,rondesantisfl [4] benshapiro,re [4] re,better [4] better,posting [4] posting,link Top Word Pairs in Tweet in G9:
[88] national,review [42] review,editorial [40] review,editors [40] isn,cheney [38] editors,isn [38] cheney,preventing [38] preventing,republicans [38] republicans,moving [38] moving,repairing [38] repairing,wounds Top Word Pairs in Tweet in G10:
[76] national,review [60] true,national [59] rebekah,jones's [59] jones's,florida [59] florida,covid [59] covid,data [59] data,conspiracy [59] conspiracy,word [59] word,true [8] secupp,national Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: