The graph represents a network of 6,116 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 11:54 UTC.
The tweets in the network were tweeted over the 2000-day, 6-hour, 44-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 March 2023 at 00:36 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 : 6116
Unique Edges : 3999
Edges With Duplicates : 12220
Total Edges : 16219
Number of Edge Types : 9
Retweet : 3315
MentionsInRetweet : 4165
Replies to : 2023
MentionsInReplyTo : 5463
Tweet : 676
MentionsInQuoteReply : 172
Quote : 140
Mentions : 201
MentionsInQuote : 64
Self-Loops : 1385
Reciprocated Vertex Pair Ratio : 0.049645390070922
Reciprocated Edge Ratio : 0.0945945945945946
Connected Components : 762
Single-Vertex Connected Components : 208
Maximum Vertices in a Connected Component : 3449
Maximum Edges in a Connected Component : 10794
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.841471
Graph Density : 0.00022556547789346
Modularity : 0.493875
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,116 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 11:54 UTC.
The tweets in the network were tweeted over the 2000-day, 6-hour, 44-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 04 March 2023 at 00:36 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:
[5433] sars,cov [392] cov,infected [376] viral,persistence [370] persistence,inside [368] realcheckmarker,viral [362] cov,sars [353] inside,sars [351] specific,cd8 [351] epithelium,reservoirs [351] cov,specific Top Word Pairs in Tweet in G1:
[1301] sars,cov [335] viral,persistence [329] persistence,inside [327] realcheckmarker,viral [312] cov,infected [311] inside,sars [311] reservoirs,cause [311] exhaustion,sars [311] epithelium,reservoirs [311] specific,cd8 Top Word Pairs in Tweet in G2:
[334] sars,cov [39] lab,leak [32] each,tweet [32] tweet,answer [32] tweet,sars [32] counter,thread [32] answer,corresponding [32] thread,each [32] corresponding,quoted [32] quoted,tweet Top Word Pairs in Tweet in G3:
[235] show,distance [232] #sarscov2,#xbb15 [229] both,genetic [229] distance,#sarscov2 [229] question,both [229] #xbb15,same [229] open,question [229] antigenic,data [229] data,show [229] genetic,antigenic Top Word Pairs in Tweet in G4:
[326] sars,cov [38] against,sars [34] cov,sars [30] spike,protein [30] 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] 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:
[112] 2021,lavoravo [112] certe,cose [112] dicevo,confermare [112] confermare,nel [112] precauzione,certe [112] salute,ma [112] ministero,salute [112] correva,giugno [112] lavoravo,ministero [112] cose,dicevo Top Word Pairs in Tweet in G7:
[135] sars,cov [94] mers,cov [93] iancopeland5,sars [93] lab,antivaxers [93] hear,regions [93] created,lab [93] cov,created [93] regions,prone [93] cov,mers [93] antivaxers,hear Top Word Pairs in Tweet in G8:
[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 G9:
[159] sars,cov [149] cov,aislado [115] aislado,secuenciado [114] conocido,mataron [114] familiar,conocido [114] mataron,protocolos [114] protocolos,oms [114] secuenciado,familiar [113] oms,lamentabl [113] escorpianodel76,sars Top Word Pairs in Tweet in G10:
[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 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 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: