The graph represents a network of 5,925 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 13:20 UTC.
The tweets in the network were tweeted over the 1145-day, 22-hour, 30-minute period from Thursday, 23 January 2020 at 01:27 UTC to Monday, 13 March 2023 at 23:57 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 : 5925
Unique Edges : 3763
Edges With Duplicates : 12192
Total Edges : 15955
Number of Edge Types : 9
Retweet : 3279
MentionsInRetweet : 4025
Quote : 162
Tweet : 660
MentionsInQuote : 98
MentionsInReplyTo : 5269
Replies to : 2020
Mentions : 257
MentionsInQuoteReply : 185
Self-Loops : 1433
Reciprocated Vertex Pair Ratio : 0.0466052187459431
Reciprocated Edge Ratio : 0.0890597866534359
Connected Components : 701
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 3591
Maximum Edges in a Connected Component : 11293
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.813732
Graph Density : 0.000229688572836805
Modularity : 0.482913
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,925 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 13:20 UTC.
The tweets in the network were tweeted over the 1145-day, 22-hour, 30-minute period from Thursday, 23 January 2020 at 01:27 UTC to Monday, 13 March 2023 at 23:57 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:
[5091] sars,cov [403] cov,infected [396] viral,persistence [388] persistence,inside [386] realcheckmarker,viral [371] inside,sars [367] epithelium,reservoirs [367] specific,cd8 [367] exhaustion,sars [367] cause,exhaustion Top Word Pairs in Tweet in G1:
[1348] sars,cov [383] viral,persistence [375] persistence,inside [373] realcheckmarker,viral [356] cov,infected [355] inside,sars [355] reservoirs,cause [355] exhaustion,sars [355] epithelium,reservoirs [355] specific,cd8 Top Word Pairs in Tweet in G2:
[396] sars,cov [57] furin,cleavage [56] cleavage,site [50] years,evolutionary [50] evolutionary,time [42] site,sars [40] 000,years [39] over,000 [38] time,see [38] evidence,furin Top Word Pairs in Tweet in G3:
[275] sars,cov [64] creation,sars [63] evidence,creation [52] 2003,sars [52] covid,19 [50] swine,flu [50] 2009,swine [50] flu,h1n1 [50] cov,2009 [48] h1n1,2012 Top Word Pairs in Tweet in G4:
[247] ex,secrétaire [247] affaires,publiques [247] adjointe,trésor [247] secrétaire,adjointe [234] publiques,l'administration [233] trésor,états [233] crowley,ex [233] unis,affaires [233] monica,crowley [233] états,unis Top Word Pairs in Tweet in G5:
[324] sars,cov [30] against,sars [30] covid,19 [28] spike,protein [27] spike,s1 [26] cov,sars [25] cov,vitro [25] cov,pseudovirus [25] s1,igys [24] anti,spike Top Word Pairs in Tweet in G6:
[131] sars,cov [93] mers,cov [92] iancopeland5,sars [92] lab,antivaxers [92] hear,regions [92] created,lab [92] cov,created [92] regions,prone [92] cov,mers [92] antivaxers,hear Top Word Pairs in Tweet in G7:
[156] sars,cov [148] cov,aislado [114] aislado,secuenciado [113] conocido,mataron [113] familiar,conocido [113] mataron,protocolos [113] protocolos,oms [113] secuenciado,familiar [112] oms,lamentabl [112] escorpianodel76,sars Top Word Pairs in Tweet in G8:
[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 G9:
[38] sars,cov [25] jtmayes3,richykirsh [25] frenchg11623069,theroyalrant [25] richykirsh,zeetubesii [25] zeetubesii,wendyorent [21] wendyorent,consequentialbr [21] theroyalrant,doom37455413 [21] paramaniac9,goz421 [21] acmeatomicace,giannmi [21] rickeyh64219156,ianb_67 Top Word Pairs in Tweet in G10:
[171] sars,cov [81] spike,protein [78] cov,sars [77] arteries,patient [77] protein,small [77] cov,spike [77] presence,sars [77] coronary,arteries [77] patient,month [77] small,coronary Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: