The graph represents a network of 5,655 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:53 UTC.
The tweets in the network were tweeted over the 1972-day, 7-hour, 3-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 February 2023 at 00:55 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 : 5655
Unique Edges : 2697
Edges With Duplicates : 11639
Total Edges : 14336
Number of Edge Types : 9
Retweet : 3919
MentionsInRetweet : 4464
MentionsInReplyTo : 3890
Replies to : 1336
Tweet : 458
MentionsInQuoteReply : 59
Quote : 91
MentionsInQuote : 41
Mentions : 78
Self-Loops : 954
Reciprocated Vertex Pair Ratio : 0.036610268378063
Reciprocated Edge Ratio : 0.0706345856198115
Connected Components : 531
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 3804
Maximum Edges in a Connected Component : 10483
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.601172
Graph Density : 0.000222278727578607
Modularity : 0.469375
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,655 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:53 UTC.
The tweets in the network were tweeted over the 1972-day, 7-hour, 3-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 February 2023 at 00:55 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:
[3278] sars,cov [1561] linked,paper [1561] paper,shows [1561] different,xbb [1560] xbb,worrying [1560] shows,different [1560] worrying,very [1560] graphic,linked [1560] very,graphic [1559] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1481] xbb,worrying [1481] very,graphic [1481] shows,different [1481] graphic,linked [1481] linked,paper [1481] different,xbb [1481] worrying,very [1481] paper,shows [1480] youarelobbylud,different [127] graphic,mine Top Word Pairs in Tweet in G2:
[350] sars,cov [335] deaths,millions [335] cov,virus [333] millions,people [333] gain,function [333] virus,manipulation [333] caused,deaths [333] people,vast [333] function,sars [333] amounts,evidence Top Word Pairs in Tweet in G3:
[265] sars,cov [80] including,dogs [80] hosts,including [80] infect,broad [80] cov,infect [80] ferrets,otters [80] spectrum,hosts [80] broad,spectrum [80] dogs,mink [80] deer,deer 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:
[137] sars,cov [27] longest,uncover [27] uncover,acknowledging [27] reservoirs,took [27] two,viruses [27] viruses,whose [27] whose,reservoirs [27] acknowledging,sars [27] cherry,picking [27] took,longest Top Word Pairs in Tweet in G6:
[296] sars,cov [37] cov,sars [37] against,sars [31] covid,19 [26] spike,protein [22] mers,cov [21] neutralizing,potency [21] potency,against [21] cov,vitro [20] mutants,sars 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:
[128] ll,know [128] cov,ll [128] chicken,farms [128] burning,more [128] sars,cov [128] farms,burning [128] know,chicken [128] menthol,sars [128] more,look [128] look,menthol Top Word Pairs in Tweet in G9:
[64] sars,cov [11] samuelcollin2,c'est [11] moreaugabarain,samuelcollin2 [11] c'est,fou [11] cette,année [11] violence,grippe [11] tilte,fait [11] fou,personne [11] personne,tilte [11] fait,violence Top Word Pairs in Tweet in G10:
[31] ressemblait,tellement [31] ce,refus [31] maladie,evali [31] anti,sars [31] tellement,covid [31] covid,pourquoi [31] tester,anticorps [31] anticorps,anti [31] evali,ressemblait [31] 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: