The graph represents a network of 5,880 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 10:34 UTC.
The tweets in the network were tweeted over the 1985-day, 6-hour, 45-minute period from Sunday, 10 September 2017 at 17:51 UTC to Friday, 17 February 2023 at 00:37 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 : 5880
Unique Edges : 3206
Edges With Duplicates : 11835
Total Edges : 15041
Number of Edge Types : 9
Retweet : 3598
MentionsInRetweet : 4233
Replies to : 1710
MentionsInReplyTo : 4532
Tweet : 597
MentionsInQuoteReply : 74
Mentions : 119
Quote : 123
MentionsInQuote : 55
Self-Loops : 1236
Reciprocated Vertex Pair Ratio : 0.0427940364439536
Reciprocated Edge Ratio : 0.0820757214720678
Connected Components : 670
Single-Vertex Connected Components : 193
Maximum Vertices in a Connected Component : 3719
Maximum Edges in a Connected Component : 10651
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.579777
Graph Density : 0.000218522517018374
Modularity : 0.482718
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,880 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 10:34 UTC.
The tweets in the network were tweeted over the 1985-day, 6-hour, 45-minute period from Sunday, 10 September 2017 at 17:51 UTC to Friday, 17 February 2023 at 00:37 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:
[4098] sars,cov [832] linked,paper [832] paper,shows [832] different,xbb [831] xbb,worrying [831] shows,different [831] worrying,very [831] graphic,linked [831] very,graphic [830] youarelobbylud,different Top Word Pairs in Tweet in G1:
[783] graphic,linked [783] shows,different [783] linked,paper [783] worrying,very [783] xbb,worrying [783] paper,shows [783] different,xbb [783] very,graphic [782] youarelobbylud,different [97] sars,cov Top Word Pairs in Tweet in G2:
[460] sars,cov [73] including,dogs [73] hamsters,voles [73] mink,ferrets [73] deer,deer [73] broad,spectrum [73] otters,hamsters [73] hosts,including [73] spectrum,hosts [73] dogs,mink Top Word Pairs in Tweet in G3:
[308] sars,cov [279] cov,virus [278] gain,function [278] deaths,millions [276] virus,manipulation [276] caused,deaths [276] evidence,suggest [276] vast,amounts [276] function,sars [276] manipulation,caused Top Word Pairs in Tweet in G4:
[236] 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:
[355] 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 G6:
[147] show,distance [145] #sarscov2,#xbb15 [144] question,both [144] antigenic,data [144] genetic,antigenic [144] distance,#sarscov2 [144] open,question [144] both,genetic [144] #xbb15,same [144] data,show 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:
[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:
[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 G10:
[125] 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 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 G6:
Top Replied-To in G7:
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: