The graph represents a network of 6,138 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 10:55 UTC.
The tweets in the network were tweeted over the 2001-day, 5-hour, 59-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 March 2023 at 23:51 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 : 6138
Unique Edges : 4007
Edges With Duplicates : 12220
Total Edges : 16227
Number of Edge Types : 9
Retweet : 3308
MentionsInRetweet : 4166
Replies to : 2030
MentionsInReplyTo : 5463
Tweet : 683
MentionsInQuoteReply : 169
Quote : 142
Mentions : 202
MentionsInQuote : 64
Self-Loops : 1393
Reciprocated Vertex Pair Ratio : 0.0493412875963212
Reciprocated Edge Ratio : 0.094042401989814
Connected Components : 771
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 3440
Maximum Edges in a Connected Component : 10766
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.824699
Graph Density : 0.00022413711722873
Modularity : 0.494317
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,138 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 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 10:55 UTC.
The tweets in the network were tweeted over the 2001-day, 5-hour, 59-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 March 2023 at 23:51 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:
[5439] sars,cov [396] cov,infected [380] viral,persistence [374] persistence,inside [372] realcheckmarker,viral [365] cov,sars [357] inside,sars [355] specific,cd8 [355] epithelium,reservoirs [355] cov,specific Top Word Pairs in Tweet in G1:
[1304] sars,cov [339] viral,persistence [333] persistence,inside [331] realcheckmarker,viral [316] cov,infected [315] inside,sars [315] reservoirs,cause [315] exhaustion,sars [315] epithelium,reservoirs [315] specific,cd8 Top Word Pairs in Tweet in G2:
[320] sars,cov [38] lab,leak [32] tweet,answer [32] hypothesis,counter [32] thread,each [32] each,tweet [32] tweet,sars [32] answer,corresponding [32] corresponding,quoted [32] counter,thread Top Word Pairs in Tweet in G3:
[234] show,distance [231] #sarscov2,#xbb15 [228] question,both [228] antigenic,data [228] genetic,antigenic [228] distance,#sarscov2 [228] open,question [228] both,genetic [228] #xbb15,same [228] data,show Top Word Pairs in Tweet in G4:
[330] sars,cov [38] against,sars [35] cov,sars [31] spike,protein [28] covid,19 [26] spike,s1 [25] cov,vitro [24] neutralizing,potency [24] potency,against [24] s1,igys Top Word Pairs in Tweet in G5:
[202] sars,cov [174] hebben,meer [174] gevaccineerde,ze [174] ze,nu [174] meer,longontstekingen [174] mijn,dochter [174] allemaal,gevaccineerde [174] cov,hebben [174] zorg,zijn [174] zijn,allemaal Top Word Pairs in Tweet in G6:
[33] mystérieuse,maladie [33] anti,sars [33] refus,tester [33] tester,anticorps [33] maladie,evali [33] anticorps,anti [33] tellement,covid [33] evali,ressemblait [33] pourquoi,ce [33] covid,pourquoi Top Word Pairs in Tweet in G7:
[159] sars,cov [149] cov,aislado [115] aislado,secuenciado [114] secuenciado,familiar [114] mataron,protocolos [114] protocolos,oms [114] conocido,mataron [114] familiar,conocido [113] escorpianodel76,sars [113] oms,lamentabl Top Word Pairs in Tweet in G8:
[133] sars,cov [94] mers,cov [93] iancopeland5,sars [93] hear,regions [93] antivaxers,hear [93] cov,created [93] lab,antivaxers [93] regions,prone [93] cov,mers [93] created,lab Top Word Pairs in Tweet in G9:
[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 G10:
[41] 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 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 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: