The graph represents a network of 5,824 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 10:48 UTC.
The tweets in the network were tweeted over the 1981-day, 7-hour, 6-minute period from Sunday, 10 September 2017 at 17:51 UTC to Monday, 13 February 2023 at 00:58 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 : 5824
Unique Edges : 3064
Edges With Duplicates : 11766
Total Edges : 14830
Number of Edge Types : 9
Retweet : 3690
MentionsInRetweet : 4295
Replies to : 1604
MentionsInReplyTo : 4349
Tweet : 562
MentionsInQuoteReply : 67
Mentions : 97
Quote : 115
MentionsInQuote : 51
Self-Loops : 1156
Reciprocated Vertex Pair Ratio : 0.0408707865168539
Reciprocated Edge Ratio : 0.078531912022669
Connected Components : 632
Single-Vertex Connected Components : 182
Maximum Vertices in a Connected Component : 3806
Maximum Edges in a Connected Component : 10738
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.324543
Graph Density : 0.000218528787887366
Modularity : 0.479175
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,824 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 10:48 UTC.
The tweets in the network were tweeted over the 1981-day, 7-hour, 6-minute period from Sunday, 10 September 2017 at 17:51 UTC to Monday, 13 February 2023 at 00:58 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:
[3816] sars,cov [1145] linked,paper [1145] paper,shows [1145] different,xbb [1144] xbb,worrying [1144] shows,different [1144] worrying,very [1144] graphic,linked [1144] very,graphic [1143] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1079] xbb,worrying [1079] very,graphic [1079] shows,different [1079] graphic,linked [1079] linked,paper [1079] different,xbb [1079] worrying,very [1079] paper,shows [1078] youarelobbylud,different [91] graphic,mine Top Word Pairs in Tweet in G2:
[360] 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 G3:
[320] sars,cov [296] cov,virus [295] gain,function [295] deaths,millions [293] function,sars [293] millions,people [293] caused,deaths [293] evidence,suggest [293] virus,manipulation [293] manipulation,caused Top Word Pairs in Tweet in G4:
[207] 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:
[338] sars,cov [42] 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] 2021,lavoravo [113] certe,cose [113] dicevo,confermare [113] confermare,nel [113] precauzione,certe [113] salute,ma [113] ministero,salute [113] correva,giugno [113] lavoravo,ministero [113] cose,dicevo Top Word Pairs in Tweet in G8:
[135] ll,know [135] cov,ll [135] chicken,farms [135] burning,more [135] sars,cov [135] farms,burning [135] know,chicken [135] menthol,sars [135] more,look [135] 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: