The graph represents a network of 6,106 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 10:49 UTC.
The tweets in the network were tweeted over the 2002-day, 6-hour, 49-minute period from Sunday, 10 September 2017 at 17:51 UTC to Monday, 06 March 2023 at 00:41 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 : 6106
Unique Edges : 3985
Edges With Duplicates : 12206
Total Edges : 16191
Number of Edge Types : 9
Retweet : 3304
MentionsInRetweet : 4149
Replies to : 2024
MentionsInReplyTo : 5447
Tweet : 692
Quote : 142
MentionsInQuoteReply : 171
Mentions : 199
MentionsInQuote : 63
Self-Loops : 1401
Reciprocated Vertex Pair Ratio : 0.0491516966067864
Reciprocated Edge Ratio : 0.0936979785969084
Connected Components : 765
Single-Vertex Connected Components : 220
Maximum Vertices in a Connected Component : 3438
Maximum Edges in a Connected Component : 10763
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.810756
Graph Density : 0.000225607497143691
Modularity : 0.490963
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,106 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 10:49 UTC.
The tweets in the network were tweeted over the 2002-day, 6-hour, 49-minute period from Sunday, 10 September 2017 at 17:51 UTC to Monday, 06 March 2023 at 00:41 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:
[5423] sars,cov [395] cov,infected [384] viral,persistence [377] persistence,inside [375] realcheckmarker,viral [358] cov,sars [358] inside,sars [356] specific,cd8 [356] epithelium,reservoirs [356] cov,specific Top Word Pairs in Tweet in G1:
[1298] sars,cov [342] viral,persistence [335] persistence,inside [333] realcheckmarker,viral [317] cov,infected [316] inside,sars [316] reservoirs,cause [316] exhaustion,sars [316] epithelium,reservoirs [316] specific,cd8 Top Word Pairs in Tweet in G2:
[435] sars,cov [95] mers,cov [94] cov,created [94] cov,mers [92] created,lab [92] antivaxers,hear [92] iancopeland5,sars [92] hear,regions [92] regions,prone [92] lab,antivaxers Top Word Pairs in Tweet in G3:
[239] show,distance [235] #sarscov2,#xbb15 [232] both,genetic [232] distance,#sarscov2 [232] question,both [232] #xbb15,same [232] open,question [232] antigenic,data [232] data,show [232] genetic,antigenic Top Word Pairs in Tweet in G4:
[341] sars,cov [38] against,sars [34] cov,sars [34] spike,protein [28] covid,19 [27] spike,s1 [26] cov,vitro [25] anti,spike [25] neutralizing,potency [25] potency,against Top Word Pairs in Tweet in G5:
[202] sars,cov [174] dochter,zorg [174] nu,griep [174] zorg,zijn [174] ze,nu [174] mijn,dochter [174] zijn,allemaal [174] meer,longontstekingen [174] griep,sars [174] cov,hebben Top Word Pairs in Tweet in G6:
[107] sars,cov [17] lab,leak [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 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:
[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:
[37] sars,cov [11] wiv1,cov [5] mers,cov [5] cov,poised [5] 04,2015 [5] human,emergence [5] emergence,09 [5] inffectious,clone [5] sars,wiv1 [5] using,sars Top Word Pairs in Tweet in G10:
[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 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 G7:
Top Replied-To in G9:
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: