The graph represents a network of 5,827 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 14:19 UTC.
The tweets in the network were tweeted over the 1982-day, 7-hour, 1-minute period from Sunday, 10 September 2017 at 17:51 UTC to Tuesday, 14 February 2023 at 00:53 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 : 5827
Unique Edges : 3068
Edges With Duplicates : 11767
Total Edges : 14835
Number of Edge Types : 9
Retweet : 3660
MentionsInRetweet : 4260
Replies to : 1629
MentionsInReplyTo : 4373
Tweet : 580
MentionsInQuoteReply : 68
Mentions : 97
Quote : 117
MentionsInQuote : 51
Self-Loops : 1187
Reciprocated Vertex Pair Ratio : 0.0415142133408387
Reciprocated Edge Ratio : 0.0797189568977165
Connected Components : 645
Single-Vertex Connected Components : 187
Maximum Vertices in a Connected Component : 3756
Maximum Edges in a Connected Component : 10629
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.376872
Graph Density : 0.000218009242460742
Modularity : 0.479248
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,827 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 14:19 UTC.
The tweets in the network were tweeted over the 1982-day, 7-hour, 1-minute period from Sunday, 10 September 2017 at 17:51 UTC to Tuesday, 14 February 2023 at 00:53 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:
[3875] sars,cov [1093] linked,paper [1093] paper,shows [1093] different,xbb [1092] xbb,worrying [1092] shows,different [1092] worrying,very [1092] graphic,linked [1092] very,graphic [1091] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1029] xbb,worrying [1029] very,graphic [1029] shows,different [1029] graphic,linked [1029] linked,paper [1029] different,xbb [1029] worrying,very [1029] paper,shows [1028] youarelobbylud,different [88] sars,cov Top Word Pairs in Tweet in G2:
[361] sars,cov [82] including,dogs [82] hosts,including [82] infect,broad [82] cov,infect [82] ferrets,otters [82] spectrum,hosts [82] broad,spectrum [82] dogs,mink [82] deer,deer Top Word Pairs in Tweet in G3:
[319] sars,cov [295] cov,virus [294] gain,function [294] deaths,millions [292] function,sars [292] millions,people [292] caused,deaths [292] evidence,suggest [292] virus,manipulation [292] manipulation,caused Top Word Pairs in Tweet in G4:
[212] sars,cov [38] lab,leak [36] thread,each [36] each,tweet [36] leak,hypothesis [36] hypothesis,counter [36] quoted,tweet [36] tweet,sars [36] counter,thread [36] tweet,answer Top Word Pairs in Tweet in G5:
[349] sars,cov [41] cov,sars [39] against,sars [35] covid,19 [29] spike,protein [27] mers,cov [24] spike,s1 [23] cov,mers [22] cov,pseudovirus [22] anti,spike Top Word Pairs in Tweet in G6:
[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 G7:
[113] 2021,lavoravo [113] certe,cose [113] dicevo,confermare [113] confermare,nel [113] precauzione,certe [113] salute,ma [113] ministero,salute [113] correva,giugno [113] lavoravo,ministero [113] cose,dicevo 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:
[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 G10:
[122] sars,cov [94] mers,cov [94] iancopeland5,sars [94] lab,antivaxers [94] hear,regions [94] created,lab [94] cov,created [94] regions,prone [94] cov,mers [94] antivaxers,hear 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 G7:
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:
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: