The graph represents a network of 5,894 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1984-day, 5-hour, 4-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 15 February 2023 at 22:56 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 : 5894
Unique Edges : 3174
Edges With Duplicates : 11857
Total Edges : 15031
Number of Edge Types : 9
Retweet : 3608
MentionsInRetweet : 4237
Replies to : 1710
MentionsInReplyTo : 4526
Tweet : 590
MentionsInQuoteReply : 74
Mentions : 110
Quote : 122
MentionsInQuote : 54
Self-Loops : 1226
Reciprocated Vertex Pair Ratio : 0.0428393178982393
Reciprocated Edge Ratio : 0.0821590002658867
Connected Components : 668
Single-Vertex Connected Components : 192
Maximum Vertices in a Connected Component : 3726
Maximum Edges in a Connected Component : 10633
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.437554
Graph Density : 0.000216564245387041
Modularity : 0.480635
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,894 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1984-day, 5-hour, 4-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 15 February 2023 at 22:56 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:
[3948] sars,cov [1018] linked,paper [1018] paper,shows [1018] different,xbb [1017] xbb,worrying [1017] shows,different [1017] worrying,very [1017] graphic,linked [1017] very,graphic [1016] youarelobbylud,different Top Word Pairs in Tweet in G1:
[963] xbb,worrying [963] very,graphic [963] shows,different [963] graphic,linked [963] linked,paper [963] different,xbb [963] worrying,very [963] paper,shows [962] youarelobbylud,different [97] sars,cov Top Word Pairs in Tweet in G2:
[399] sars,cov [79] cov,infect [79] mink,ferrets [79] infect,broad [79] hosts,including [79] voles,deer [79] broad,spectrum [79] deer,deer [79] spectrum,hosts [79] otters,hamsters Top Word Pairs in Tweet in G3:
[314] sars,cov [290] cov,virus [289] gain,function [289] deaths,millions [287] virus,manipulation [287] caused,deaths [287] evidence,suggest [287] vast,amounts [287] function,sars [287] manipulation,caused Top Word Pairs in Tweet in G4:
[231] 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:
[351] sars,cov [41] cov,sars [39] against,sars [35] 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:
[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 G7:
[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 G8:
[132] ll,know [132] cov,ll [132] chicken,farms [132] burning,more [132] sars,cov [132] farms,burning [132] know,chicken [132] menthol,sars [132] more,look [132] look,menthol Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[95] sars,cov [36] apoptosis,pathways [36] mitochondrial,fusion [36] response,apoptosis [36] cov,participates [36] stress,response [36] fusion,host [36] pathways,mitochondrial [36] cells,covid [36] host,cells 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 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: