The graph represents a network of 5,701 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 14:18 UTC.
The tweets in the network were tweeted over the 1975-day, 6-hour, 41-minute period from Sunday, 10 September 2017 at 17:51 UTC to Tuesday, 07 February 2023 at 00:33 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 : 5701
Unique Edges : 2784
Edges With Duplicates : 11671
Total Edges : 14455
Number of Edge Types : 9
Retweet : 3848
MentionsInRetweet : 4385
MentionsInReplyTo : 4023
Replies to : 1416
Tweet : 485
MentionsInQuoteReply : 60
Quote : 105
MentionsInQuote : 45
Mentions : 88
Self-Loops : 1009
Reciprocated Vertex Pair Ratio : 0.0374277456647399
Reciprocated Edge Ratio : 0.072154896225101
Connected Components : 556
Single-Vertex Connected Components : 156
Maximum Vertices in a Connected Component : 3801
Maximum Edges in a Connected Component : 10520
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.795473
Graph Density : 0.00022092153731109
Modularity : 0.472452
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,701 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 14:18 UTC.
The tweets in the network were tweeted over the 1975-day, 6-hour, 41-minute period from Sunday, 10 September 2017 at 17:51 UTC to Tuesday, 07 February 2023 at 00:33 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:
[3470] sars,cov [1392] linked,paper [1392] paper,shows [1392] different,xbb [1391] xbb,worrying [1391] shows,different [1391] worrying,very [1391] graphic,linked [1391] very,graphic [1390] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1317] xbb,worrying [1317] very,graphic [1317] shows,different [1317] graphic,linked [1317] linked,paper [1317] different,xbb [1317] worrying,very [1317] paper,shows [1316] youarelobbylud,different [121] sars,cov Top Word Pairs in Tweet in G2:
[330] sars,cov [313] cov,virus [313] deaths,millions [312] gain,function [311] function,sars [311] millions,people [311] caused,deaths [311] evidence,suggest [311] virus,manipulation [311] manipulation,caused Top Word Pairs in Tweet in G3:
[290] sars,cov [81] otters,hamsters [81] hamsters,voles [81] including,dogs [81] ferrets,otters [81] broad,spectrum [81] cov,infect [81] deer,deer [81] voles,deer [81] hosts,including Top Word Pairs in Tweet in G4:
[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 G5:
[147] sars,cov [28] longest,uncover [28] cov,infected [28] cherry,picking [28] acknowledging,sars [28] picking,two [28] reservoirs,took [28] uncover,acknowledging [28] took,longest [28] whose,reservoirs Top Word Pairs in Tweet in G6:
[303] sars,cov [39] cov,sars [37] against,sars [31] covid,19 [25] spike,protein [24] mers,cov [22] spike,s1 [20] cov,vitro [20] neutralizing,potency [20] potency,against Top Word Pairs in Tweet in G7:
[113] confermare,nel [113] certe,cose [113] dicevo,confermare [113] giugno,2021 [113] ma,precauzione [113] precauzione,certe [113] lavoravo,ministero [113] 2021,lavoravo [113] ministero,salute [113] salute,ma Top Word Pairs in Tweet in G8:
[130] ll,know [130] cov,ll [130] chicken,farms [130] burning,more [130] sars,cov [130] farms,burning [130] know,chicken [130] menthol,sars [130] more,look [130] look,menthol Top Word Pairs in Tweet in G9:
[64] sars,cov [11] violence,grippe [11] fou,personne [11] fait,violence [11] grippe,cette [11] c'est,fou [11] cette,année [11] personne,tilte [11] moreaugabarain,samuelcollin2 [11] année,soit Top Word Pairs in Tweet in G10:
[33] ressemblait,tellement [33] ce,refus [33] maladie,evali [33] anti,sars [33] tellement,covid [33] covid,pourquoi [33] tester,anticorps [33] anticorps,anti [33] evali,ressemblait [33] mystérieuse,maladie 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 G5:
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: