The graph represents a network of 5,793 Twitter users whose recent tweets contained "SARS-COV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 10:54 UTC.
The tweets in the network were tweeted over the 1980-day, 6-hour, 22-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 12 February 2023 at 00:14 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.
Author Description
Vertices : 5793
Unique Edges : 3020
Edges With Duplicates : 11774
Total Edges : 14794
Number of Edge Types : 9
Retweet : 3717
MentionsInRetweet : 4314
Replies to : 1579
MentionsInReplyTo : 4313
Tweet : 545
MentionsInQuoteReply : 67
Mentions : 96
Quote : 113
MentionsInQuote : 50
Self-Loops : 1133
Reciprocated Vertex Pair Ratio : 0.040574809805579
Reciprocated Edge Ratio : 0.0779853777416734
Connected Components : 613
Single-Vertex Connected Components : 178
Maximum Vertices in a Connected Component : 3723
Maximum Edges in a Connected Component : 10520
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.010796
Graph Density : 0.00022012898020377
Modularity : 0.47732
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,793 Twitter users whose recent tweets contained "SARS-COV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 10:54 UTC.
The tweets in the network were tweeted over the 1980-day, 6-hour, 22-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 12 February 2023 at 00:14 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 : SARS-COV
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:
[3760] sars,cov [1196] linked,paper [1196] paper,shows [1196] different,xbb [1195] xbb,worrying [1195] shows,different [1195] worrying,very [1195] graphic,linked [1195] very,graphic [1194] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1125] xbb,worrying [1125] very,graphic [1125] shows,different [1125] graphic,linked [1125] linked,paper [1125] different,xbb [1125] worrying,very [1125] paper,shows [1124] youarelobbylud,different [96] graphic,mine Top Word Pairs in Tweet in G2:
[323] sars,cov [299] cov,virus [298] gain,function [298] deaths,millions [296] virus,manipulation [296] caused,deaths [296] evidence,suggest [296] vast,amounts [296] function,sars [296] manipulation,caused Top Word Pairs in Tweet in G3:
[342] sars,cov [81] including,dogs [81] hosts,including [81] infect,broad [81] cov,infect [81] ferrets,otters [81] spectrum,hosts [81] broad,spectrum [81] dogs,mink [81] deer,deer Top Word Pairs in Tweet in G4:
[211] sars,cov [38] lab,leak [36] thread,each [36] each,tweet [36] leak,hypothesis [36] hypothesis,counter [36] quoted,tweet [36] tweet,sars [36] counter,thread [36] tweet,answer Top Word Pairs in Tweet in G5:
[333] sars,cov [41] cov,sars [38] against,sars [32] covid,19 [28] spike,protein [27] mers,cov [23] spike,s1 [23] cov,mers [21] cov,pseudovirus [21] neutralizing,potency Top Word Pairs in Tweet in G6:
[175] zorg,zijn [175] zijn,allemaal [175] dochter,zorg [175] meer,longontstekingen [175] griep,sars [175] mijn,dochter [175] sars,cov [175] nu,griep [175] allemaal,gevaccineerde [175] ze,nu Top Word Pairs in Tweet in G7:
[113] salute,ma [113] nel,mio [113] giugno,2021 [113] dicevo,confermare [113] certe,cose [113] cose,dicevo [113] correva,giugno [113] precauzione,certe [113] ma,precauzione [113] 2021,lavoravo Top Word Pairs in Tweet in G8:
[134] ll,know [134] cov,ll [134] chicken,farms [134] burning,more [134] sars,cov [134] farms,burning [134] know,chicken [134] menthol,sars [134] more,look [134] look,menthol Top Word Pairs in Tweet in G9:
[33] mystérieuse,maladie [33] anti,sars [33] refus,tester [33] tester,anticorps [33] maladie,evali [33] anticorps,anti [33] tellement,covid [33] evali,ressemblait [33] pourquoi,ce [33] covid,pourquoi Top Word Pairs in Tweet in G10:
[122] sars,cov [94] mers,cov [94] iancopeland5,sars [94] lab,antivaxers [94] hear,regions [94] created,lab [94] cov,created [94] regions,prone [94] cov,mers [94] antivaxers,hear Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: