The graph represents a network of 6,034 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 14:21 UTC.
The tweets in the network were tweeted over the 2003-day, 7-hour, 8-minute period from Sunday, 10 September 2017 at 17:51 UTC to Tuesday, 07 March 2023 at 01:00 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 : 6034
Unique Edges : 3950
Edges With Duplicates : 12154
Total Edges : 16104
Number of Edge Types : 9
Retweet : 3292
MentionsInRetweet : 4146
Replies to : 2034
MentionsInReplyTo : 5369
Tweet : 680
Quote : 145
MentionsInQuoteReply : 167
Mentions : 210
MentionsInQuote : 61
Self-Loops : 1405
Reciprocated Vertex Pair Ratio : 0.0486792452830189
Reciprocated Edge Ratio : 0.0928391507736596
Connected Components : 750
Single-Vertex Connected Components : 213
Maximum Vertices in a Connected Component : 3443
Maximum Edges in a Connected Component : 10833
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.076933
Graph Density : 0.000229018818770544
Modularity : 0.488522
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,034 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 14:21 UTC.
The tweets in the network were tweeted over the 2003-day, 7-hour, 8-minute period from Sunday, 10 September 2017 at 17:51 UTC to Tuesday, 07 March 2023 at 01:00 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:
[5414] sars,cov [405] cov,infected [395] viral,persistence [388] persistence,inside [386] realcheckmarker,viral [370] inside,sars [367] epithelium,reservoirs [367] specific,cd8 [367] exhaustion,sars [367] cause,exhaustion Top Word Pairs in Tweet in G1:
[1310] sars,cov [353] viral,persistence [346] persistence,inside [344] realcheckmarker,viral [328] cov,infected [327] inside,sars [327] reservoirs,cause [327] exhaustion,sars [327] epithelium,reservoirs [327] specific,cd8 Top Word Pairs in Tweet in G2:
[452] sars,cov [96] mers,cov [95] cov,mers [94] cov,created [92] created,lab [92] antivaxers,hear [92] iancopeland5,sars [92] hear,regions [92] regions,prone [92] lab,antivaxers Top Word Pairs in Tweet in G3:
[238] show,distance [234] #sarscov2,#xbb15 [231] question,both [231] antigenic,data [231] genetic,antigenic [231] distance,#sarscov2 [231] open,question [231] both,genetic [231] #xbb15,same [231] data,show Top Word Pairs in Tweet in G4:
[340] sars,cov [36] against,sars [36] cov,sars [31] spike,protein [27] covid,19 [27] spike,s1 [26] cov,vitro [26] potency,against [25] neutralizing,potency [25] mers,cov Top Word Pairs in Tweet in G5:
[133] sars,cov [45] mers,cov [39] covid,19 [38] 2003,sars [35] flu,h1n1 [35] 2009,swine [35] cov,2009 [35] swine,flu [34] 2020,covid [34] 2012,mers Top Word Pairs in Tweet in G6:
[102] sars,cov [21] lab,leak [15] january,14 [15] liz_churchill8,january [15] list,essential [15] essential,medications [15] hydroxychlorinquine,listed [15] 2020,wow [15] 14,2020 [15] wow,hydroxychlorinquine Top Word Pairs in Tweet in G7:
[158] sars,cov [148] cov,aislado [114] aislado,secuenciado [113] secuenciado,familiar [113] mataron,protocolos [113] protocolos,oms [113] conocido,mataron [113] familiar,conocido [112] escorpianodel76,sars [112] oms,lamentabl Top Word Pairs in Tweet in G8:
[144] sars,cov [116] dochter,zorg [116] nu,griep [116] zorg,zijn [116] ze,nu [116] mijn,dochter [116] zijn,allemaal [116] meer,longontstekingen [116] griep,sars [116] cov,hebben Top Word Pairs in Tweet in G9:
[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 G10:
[112] 2021,lavoravo [112] certe,cose [112] dicevo,confermare [112] confermare,nel [112] precauzione,certe [112] salute,ma [112] ministero,salute [112] correva,giugno [112] lavoravo,ministero [112] cose,dicevo 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 G6:
Top Replied-To in G7:
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: