The graph represents a network of 5,922 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 10:55 UTC.
The tweets in the network were tweeted over the 1987-day, 7-hour, 8-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 19 February 2023 at 01:00 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 : 5922
Unique Edges : 3282
Edges With Duplicates : 11883
Total Edges : 15165
Number of Edge Types : 9
Retweet : 3557
MentionsInRetweet : 4214
Replies to : 1766
MentionsInReplyTo : 4629
Tweet : 610
MentionsInQuoteReply : 82
Mentions : 125
Quote : 128
MentionsInQuote : 54
Self-Loops : 1263
Reciprocated Vertex Pair Ratio : 0.0432705432705433
Reciprocated Edge Ratio : 0.0829517205285882
Connected Components : 692
Single-Vertex Connected Components : 193
Maximum Vertices in a Connected Component : 3700
Maximum Edges in a Connected Component : 10669
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.737876
Graph Density : 0.000217971842589593
Modularity : 0.484327
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,922 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 10:55 UTC.
The tweets in the network were tweeted over the 1987-day, 7-hour, 8-minute period from Sunday, 10 September 2017 at 17:51 UTC to Sunday, 19 February 2023 at 01:00 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:
[4237] sars,cov [683] linked,paper [683] paper,shows [683] different,xbb [682] xbb,worrying [682] shows,different [682] worrying,very [682] graphic,linked [682] very,graphic [681] youarelobbylud,different Top Word Pairs in Tweet in G1:
[638] very,graphic [638] xbb,worrying [638] different,xbb [638] linked,paper [638] worrying,very [638] shows,different [638] paper,shows [638] graphic,linked [637] youarelobbylud,different [82] sars,cov Top Word Pairs in Tweet in G2:
[498] sars,cov [84] show,distance [80] same,sars [80] distance,sars [79] antigenic,chartographies [79] cov,xbb [79] time,nominate [79] nominate,sars [79] chartographies,show [79] cov,time Top Word Pairs in Tweet in G3:
[295] sars,cov [270] cov,virus [269] gain,function [269] deaths,millions [267] function,sars [267] millions,people [267] caused,deaths [267] evidence,suggest [267] virus,manipulation [267] manipulation,caused Top Word Pairs in Tweet in G4:
[244] sars,cov [37] lab,leak [35] thread,each [35] each,tweet [35] leak,hypothesis [35] hypothesis,counter [35] quoted,tweet [35] tweet,sars [35] counter,thread [35] tweet,answer Top Word Pairs in Tweet in G5:
[236] #sarscov2,#xbb15 [230] show,distance [223] antigenic,data [223] #xbb15,same [223] data,show [223] genetic,antigenic [223] distance,#sarscov2 [223] open,question [223] question,both [223] both,genetic Top Word Pairs in Tweet in G6:
[358] sars,cov [40] cov,sars [39] against,sars [34] covid,19 [29] spike,protein [27] mers,cov [24] spike,s1 [23] cov,vitro [23] cov,mers [22] cov,pseudovirus Top Word Pairs in Tweet in G7:
[152] sars,cov [95] iancopeland5,sars [95] mers,cov [95] hear,regions [95] antivaxers,hear [95] cov,created [95] lab,antivaxers [95] regions,prone [95] cov,mers [95] created,lab Top Word Pairs in Tweet in G8:
[175] zorg,zijn [175] zijn,allemaal [175] dochter,zorg [175] meer,longontstekingen [175] griep,sars [175] mijn,dochter [175] sars,cov [175] nu,griep [175] allemaal,gevaccineerde [175] ze,nu Top Word Pairs in Tweet in G9:
[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 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 G4:
Top Replied-To in G5:
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: