The graph represents a network of 5,862 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 10:05 UTC.
The tweets in the network were tweeted over the 1983-day, 6-hour, 15-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 15 February 2023 at 00:06 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 : 5862
Unique Edges : 3101
Edges With Duplicates : 11819
Total Edges : 14920
Number of Edge Types : 9
Retweet : 3639
MentionsInRetweet : 4241
Replies to : 1665
MentionsInReplyTo : 4445
Tweet : 587
MentionsInQuoteReply : 74
Mentions : 98
Quote : 120
MentionsInQuote : 51
Self-Loops : 1207
Reciprocated Vertex Pair Ratio : 0.0424132138857783
Reciprocated Edge Ratio : 0.081375050355848
Connected Components : 658
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 3753
Maximum Edges in a Connected Component : 10639
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.401761
Graph Density : 0.000216752351808131
Modularity : 0.479513
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,862 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 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 10:05 UTC.
The tweets in the network were tweeted over the 1983-day, 6-hour, 15-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 15 February 2023 at 00:06 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:
[3900] sars,cov [1062] linked,paper [1062] paper,shows [1062] different,xbb [1061] xbb,worrying [1061] shows,different [1061] worrying,very [1061] graphic,linked [1061] very,graphic [1060] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1004] xbb,worrying [1004] very,graphic [1004] shows,different [1004] graphic,linked [1004] linked,paper [1004] different,xbb [1004] worrying,very [1004] paper,shows [1003] youarelobbylud,different [98] sars,cov Top Word Pairs in Tweet in G2:
[359] sars,cov [80] cov,infect [80] mink,ferrets [80] infect,broad [80] hosts,including [80] voles,deer [80] broad,spectrum [80] deer,deer [80] spectrum,hosts [80] otters,hamsters Top Word Pairs in Tweet in G3:
[317] sars,cov [293] cov,virus [292] gain,function [292] deaths,millions [290] function,sars [290] millions,people [290] caused,deaths [290] evidence,suggest [290] virus,manipulation [290] manipulation,caused Top Word Pairs in Tweet in G4:
[219] sars,cov [38] lab,leak [36] counter,thread [36] tweet,sars [36] thread,each [36] quoted,tweet [36] each,tweet [36] hypothesis,counter [36] corresponding,quoted [36] leak,hypothesis Top Word Pairs in Tweet in G5:
[345] sars,cov [40] cov,sars [39] against,sars [33] covid,19 [29] spike,protein [27] mers,cov [24] spike,s1 [23] cov,mers [22] cov,pseudovirus [22] neutralizing,potency Top Word Pairs in Tweet in G6:
[113] salute,ma [113] nel,mio [113] giugno,2021 [113] dicevo,confermare [113] certe,cose [113] cose,dicevo [113] correva,giugno [113] precauzione,certe [113] ma,precauzione [113] 2021,lavoravo 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:
[133] ll,know [133] cov,ll [133] chicken,farms [133] burning,more [133] sars,cov [133] farms,burning [133] know,chicken [133] menthol,sars [133] more,look [133] 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: