The graph represents a network of 5,934 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 10:50 UTC.
The tweets in the network were tweeted over the 1144-day, 22-hour, 27-minute period from Thursday, 23 January 2020 at 01:27 UTC to Sunday, 12 March 2023 at 23:54 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 : 5934
Unique Edges : 3750
Edges With Duplicates : 12193
Total Edges : 15943
Number of Edge Types : 9
Retweet : 3273
MentionsInRetweet : 4009
Quote : 162
Tweet : 669
MentionsInQuote : 93
MentionsInReplyTo : 5283
Replies to : 2024
Mentions : 257
MentionsInQuoteReply : 173
Self-Loops : 1440
Reciprocated Vertex Pair Ratio : 0.0462698206394593
Reciprocated Edge Ratio : 0.0884472049689441
Connected Components : 706
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 3613
Maximum Edges in a Connected Component : 11285
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.930068
Graph Density : 0.000228651465917212
Modularity : 0.481472
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,934 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 10:50 UTC.
The tweets in the network were tweeted over the 1144-day, 22-hour, 27-minute period from Thursday, 23 January 2020 at 01:27 UTC to Sunday, 12 March 2023 at 23:54 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:
[5085] sars,cov [402] cov,infected [398] viral,persistence [391] persistence,inside [389] realcheckmarker,viral [373] inside,sars [370] epithelium,reservoirs [370] specific,cd8 [370] exhaustion,sars [370] cause,exhaustion Top Word Pairs in Tweet in G1:
[1354] sars,cov [384] viral,persistence [377] persistence,inside [375] realcheckmarker,viral [358] cov,infected [357] inside,sars [357] reservoirs,cause [357] exhaustion,sars [357] epithelium,reservoirs [357] specific,cd8 Top Word Pairs in Tweet in G2:
[425] sars,cov [64] creation,sars [63] evidence,creation [32] sars,covs [30] defuse,grant [29] cov,infected [27] human,optimized [25] acknowledging,sars [25] took,longest [25] cherry,picking Top Word Pairs in Tweet in G3:
[212] secrétaire,adjointe [212] trésor,états [212] affaires,publiques [212] unis,affaires [212] monica,crowley [212] crowley,ex [212] adjointe,trésor [212] ex,secrétaire [212] états,unis [212] publiques,l'administration Top Word Pairs in Tweet in G4:
[335] sars,cov [30] against,sars [29] covid,19 [28] spike,protein [27] spike,s1 [27] cov,sars [25] cov,vitro [25] cov,pseudovirus [25] s1,igys [24] anti,spike Top Word Pairs in Tweet in G5:
[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 G6:
[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 G7:
[137] sars,cov [93] mers,cov [92] cov,created [92] cov,mers [91] iancopeland5,sars [91] hear,regions [91] antivaxers,hear [91] lab,antivaxers [91] regions,prone [91] created,lab Top Word Pairs in Tweet in G8:
[111] confermare,nel [111] certe,cose [111] dicevo,confermare [111] giugno,2021 [111] ma,precauzione [111] precauzione,certe [111] lavoravo,ministero [111] 2021,lavoravo [111] ministero,salute [111] salute,ma Top Word Pairs in Tweet in G9:
[65] sars,cov [15] hydroxychlorinquine,listed [15] 14,2020 [15] 2020,wow [15] listed,list [15] liz_churchill8,january [15] wow,hydroxychlorinquine [15] january,14 [15] list,essential [15] chimeric,virus Top Word Pairs in Tweet in G10:
[39] sars,cov [25] zeetubesii,wendyorent [25] richykirsh,zeetubesii [25] frenchg11623069,theroyalrant [25] jtmayes3,richykirsh [21] sasquatch4eva,rickeyh64219156 [21] rickeyh64219156,ianb_67 [21] paramaniac9,goz421 [21] wendyorent,consequentialbr [21] consequentialbr,frenchg11623069 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: