The graph represents a network of 6,021 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 11:51 UTC.
The tweets in the network were tweeted over the 2005-day, 6-hour, 5-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 08 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 : 6021
Unique Edges : 4008
Edges With Duplicates : 12145
Total Edges : 16153
Number of Edge Types : 9
Retweet : 3243
MentionsInRetweet : 4113
Replies to : 2073
MentionsInReplyTo : 5422
Tweet : 703
MentionsInQuoteReply : 167
Mentions : 215
Quote : 150
MentionsInQuote : 67
Self-Loops : 1455
Reciprocated Vertex Pair Ratio : 0.0492505353319058
Reciprocated Edge Ratio : 0.0938775510204082
Connected Components : 771
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 3455
Maximum Edges in a Connected Component : 10890
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.043275
Graph Density : 0.000229815799739671
Modularity : 0.487112
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,021 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 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 11:51 UTC.
The tweets in the network were tweeted over the 2005-day, 6-hour, 5-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 08 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:
[5406] sars,cov [403] 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:
[1322] sars,cov [357] viral,persistence [350] persistence,inside [348] realcheckmarker,viral [332] cov,infected [331] exhaustion,sars [331] inside,sars [331] infected,epithelium [331] specific,cd8 [331] reservoirs,cause Top Word Pairs in Tweet in G2:
[423] sars,cov [94] mers,cov [93] cov,mers [92] cov,created [91] iancopeland5,sars [91] hear,regions [91] lab,antivaxers [91] created,lab [91] regions,prone [91] antivaxers,hear 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:
[347] sars,cov [38] cov,sars [35] against,sars [29] spike,protein [27] spike,s1 [26] covid,19 [25] potency,against [25] mers,cov [25] cov,vitro [25] s1,igys Top Word Pairs in Tweet in G5:
[98] 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 G6:
[130] sars,cov [49] mers,cov [42] covid,19 [41] 2003,sars [38] swine,flu [38] 2009,swine [38] flu,h1n1 [38] cov,2009 [37] 2020,covid [37] 2012,mers 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:
[135] ll,know [135] cov,ll [135] chicken,farms [135] burning,more [135] sars,cov [135] farms,burning [135] know,chicken [135] menthol,sars [135] more,look [135] look,menthol Top Word Pairs in Tweet in G9:
[112] confermare,nel [112] certe,cose [112] dicevo,confermare [112] giugno,2021 [112] ma,precauzione [112] precauzione,certe [112] lavoravo,ministero [112] 2021,lavoravo [112] ministero,salute [112] salute,ma Top Word Pairs in Tweet in G10:
[74] sars,cov [10] weapon,labs [10] biotech,weapon [10] making,biotech [10] russia,told [10] guy,makes [10] story,russia [10] ridiculous,story [10] makes,ridiculous [10] labs,sars 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 G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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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: