The graph represents a network of 5,875 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 09:06 UTC.
The tweets in the network were tweeted over the 1146-day, 22-hour, 33-minute period from Thursday, 23 January 2020 at 01:27 UTC to Wednesday, 15 March 2023 at 00:00 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 : 5875
Unique Edges : 3665
Edges With Duplicates : 11505
Total Edges : 15170
Number of Edge Types : 9
Retweet : 3353
MentionsInRetweet : 4101
Quote : 163
Tweet : 634
MentionsInQuote : 98
MentionsInReplyTo : 4445
Replies to : 1933
Mentions : 252
MentionsInQuoteReply : 191
Self-Loops : 1384
Reciprocated Vertex Pair Ratio : 0.0444035733053074
Reciprocated Edge Ratio : 0.0850314465408805
Connected Components : 685
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 3561
Maximum Edges in a Connected Component : 10556
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.599289
Graph Density : 0.00023036967813444
Modularity : 0.498708
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,875 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 09:06 UTC.
The tweets in the network were tweeted over the 1146-day, 22-hour, 33-minute period from Thursday, 23 January 2020 at 01:27 UTC to Wednesday, 15 March 2023 at 00:00 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:
[5168] sars,cov [406] cov,infected [399] viral,persistence [392] persistence,inside [390] realcheckmarker,viral [375] inside,sars [371] epithelium,reservoirs [371] specific,cd8 [371] exhaustion,sars [371] cause,exhaustion Top Word Pairs in Tweet in G1:
[1514] sars,cov [384] viral,persistence [377] persistence,inside [375] realcheckmarker,viral [357] inside,sars [357] reservoirs,cause [357] exhaustion,sars [357] epithelium,reservoirs [357] specific,cd8 [357] infected,epithelium Top Word Pairs in Tweet in G2:
[389] sars,cov [124] furin,cleavage [123] cleavage,site [97] defuse,grant [77] insert,human [75] human,specific [69] grant,proposing [69] proposing,insert [68] ralph,baric [67] unc,co Top Word Pairs in Tweet in G3:
[252] sars,cov [65] creation,sars [63] evidence,creation [38] infectious,clone [33] cov,infectious [27] using,sars [25] clone,template [25] template,designed [20] coronavirus,leap [20] second,coronavirus Top Word Pairs in Tweet in G4:
[248] ex,secrétaire [248] affaires,publiques [248] adjointe,trésor [248] 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:
[312] sars,cov [29] covid,19 [28] against,sars [27] spike,protein [26] spike,s1 [24] cov,vitro [24] cov,pseudovirus [24] s1,igys [23] anti,spike [23] cov,25 Top Word Pairs in Tweet in G6:
[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 G7:
[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 G8:
[125] sars,cov [93] mers,cov [92] iancopeland5,sars [92] hear,regions [92] antivaxers,hear [92] cov,created [92] lab,antivaxers [92] regions,prone [92] cov,mers [92] created,lab Top Word Pairs in Tweet in G9:
[19] sars,cov [10] frenchg11623069,theroyalrant [10] provaxtexan,takethatct [10] zeetubesii,wendyorent [10] jtmayes3,richykirsh [10] richykirsh,zeetubesii [9] such,ivermectin [9] disclosure,highlights [9] highlights,several [9] ivermectin,specifically Top Word Pairs in Tweet in G10:
[165] sars,cov [78] cov,sars [78] spike,protein [77] protein,small [77] small,coronary [77] coronary,arteries [77] presence,sars [77] cov,spike [77] arteries,patient [77] patient,month 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 G6:
Top Replied-To in G8:
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:
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: