The graph represents a network of 5,667 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 10:54 UTC.
The tweets in the network were tweeted over the 1973-day, 6-hour, 22-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 05 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 : 5667
Unique Edges : 2713
Edges With Duplicates : 11659
Total Edges : 14372
Number of Edge Types : 9
Retweet : 3897
MentionsInRetweet : 4432
MentionsInReplyTo : 3934
Replies to : 1368
Tweet : 476
MentionsInQuoteReply : 50
Quote : 93
MentionsInQuote : 33
Mentions : 89
Self-Loops : 982
Reciprocated Vertex Pair Ratio : 0.036405999708752
Reciprocated Edge Ratio : 0.0702543206407194
Connected Components : 537
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 3815
Maximum Edges in a Connected Component : 10529
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.716482
Graph Density : 0.000221649717953303
Modularity : 0.469478
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,667 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 10:54 UTC.
The tweets in the network were tweeted over the 1973-day, 6-hour, 22-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 05 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:
[3308] sars,cov [1541] linked,paper [1541] paper,shows [1541] different,xbb [1540] xbb,worrying [1540] shows,different [1540] worrying,very [1540] graphic,linked [1540] very,graphic [1539] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1461] xbb,worrying [1461] very,graphic [1461] shows,different [1461] graphic,linked [1461] linked,paper [1461] different,xbb [1461] worrying,very [1461] paper,shows [1460] youarelobbylud,different [124] graphic,mine Top Word Pairs in Tweet in G2:
[339] sars,cov [325] cov,virus [325] deaths,millions [324] gain,function [323] function,sars [323] millions,people [323] caused,deaths [323] evidence,suggest [323] virus,manipulation [323] manipulation,caused Top Word Pairs in Tweet in G3:
[275] sars,cov [80] otters,hamsters [80] hamsters,voles [80] including,dogs [80] ferrets,otters [80] broad,spectrum [80] cov,infect [80] deer,deer [80] voles,deer [80] 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:
[139] sars,cov [27] took,longest [27] picking,two [27] whose,reservoirs [27] acknowledging,sars [27] uncover,acknowledging [27] cherry,picking [27] two,viruses [27] viruses,whose [27] cov,infected Top Word Pairs in Tweet in G6:
[301] sars,cov [37] against,sars [37] cov,sars [31] covid,19 [26] spike,protein [22] spike,s1 [22] mers,cov [21] cov,vitro [21] neutralizing,potency [21] potency,against Top Word Pairs in Tweet in G7:
[109] 2021,lavoravo [109] certe,cose [109] dicevo,confermare [109] confermare,nel [109] precauzione,certe [109] salute,ma [109] ministero,salute [109] correva,giugno [109] lavoravo,ministero [109] cose,dicevo Top Word Pairs in Tweet in G8:
[129] ll,know [129] cov,ll [129] chicken,farms [129] burning,more [129] sars,cov [129] farms,burning [129] know,chicken [129] menthol,sars [129] more,look [129] look,menthol Top Word Pairs in Tweet in G9:
[33] covid,pourquoi [33] ressemblait,tellement [33] mystérieuse,maladie [33] ce,refus [33] evali,ressemblait [33] pourquoi,ce [33] tester,anticorps [33] tellement,covid [33] refus,tester [33] maladie,evali Top Word Pairs in Tweet in G10:
[61] 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 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: