The graph represents a network of 5,958 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 10:56 UTC.
The tweets in the network were tweeted over the 2008-day, 7-hour, 4-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 12 March 2023 at 00:56 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 : 5958
Unique Edges : 3949
Edges With Duplicates : 12246
Total Edges : 16195
Number of Edge Types : 9
Retweet : 3227
MentionsInRetweet : 3984
Quote : 167
Tweet : 690
MentionsInQuote : 97
MentionsInReplyTo : 5507
Replies to : 2094
Mentions : 240
MentionsInQuoteReply : 189
Self-Loops : 1473
Reciprocated Vertex Pair Ratio : 0.0494141619969435
Reciprocated Edge Ratio : 0.0941747572815534
Connected Components : 742
Single-Vertex Connected Components : 214
Maximum Vertices in a Connected Component : 3449
Maximum Edges in a Connected Component : 11152
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.573108
Graph Density : 0.000232166263953995
Modularity : 0.483098
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,958 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 10:56 UTC.
The tweets in the network were tweeted over the 2008-day, 7-hour, 4-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 12 March 2023 at 00:56 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:
[5248] sars,cov [402] cov,infected [398] viral,persistence [391] persistence,inside [389] realcheckmarker,viral [373] inside,sars [370] specific,cd8 [370] epithelium,reservoirs [370] cov,specific [370] reservoirs,cause Top Word Pairs in Tweet in G1:
[1477] sars,cov [387] viral,persistence [380] persistence,inside [378] realcheckmarker,viral [362] cov,infected [361] inside,sars [361] reservoirs,cause [361] exhaustion,sars [361] epithelium,reservoirs [361] specific,cd8 Top Word Pairs in Tweet in G2:
[465] sars,cov [63] creation,sars [62] evidence,creation [47] infectious,clone [33] cov,infectious [33] sars,covs [31] defuse,grant [29] cov,infected [27] using,sars [26] human,optimized Top Word Pairs in Tweet in G3:
[341] sars,cov [32] cov,sars [31] against,sars [30] covid,19 [28] spike,protein [27] spike,s1 [25] cov,vitro [25] potency,against [25] cov,pseudovirus [25] s1,igys Top Word Pairs in Tweet in G4:
[155] sars,cov [91] mers,cov [90] cov,created [90] cov,mers [89] iancopeland5,sars [89] hear,regions [89] antivaxers,hear [89] lab,antivaxers [89] regions,prone [89] created,lab Top Word Pairs in Tweet in G5:
[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 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:
[77] sars,cov [16] chimeric,virus [15] liz_churchill8,january [15] 2020,wow [15] list,essential [15] essential,medications [15] hydroxychlorinquine,listed [15] wow,hydroxychlorinquine [15] 14,2020 [15] january,14 Top Word Pairs in Tweet in G8:
[44] sars,cov [27] jtmayes3,richykirsh [27] frenchg11623069,theroyalrant [27] zeetubesii,wendyorent [25] richykirsh,zeetubesii [23] paramaniac9,goz421 [23] acmeatomicace,giannmi [23] rickeyh64219156,ianb_67 [23] giannmi,saluce65 [23] sasquatch4eva,rickeyh64219156 Top Word Pairs in Tweet in G9:
[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 G10:
[31] sars,cov [11] wiv1,cov [5] 06,2016 [5] inffectious,clone [5] 09,04 [5] cov,poised [5] using,sars [5] human,emergence [5] emergence,09 [5] 01,06 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: