The graph represents a network of 5,762 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 10:33 UTC.
The tweets in the network were tweeted over the 1978-day, 5-hour, 58-minute period from Sunday, 10 September 2017 at 17:51 UTC to Thursday, 09 February 2023 at 23:49 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 : 5762
Unique Edges : 2939
Edges With Duplicates : 11753
Total Edges : 14692
Number of Edge Types : 9
Retweet : 3784
MentionsInRetweet : 4381
Replies to : 1505
MentionsInReplyTo : 4195
Tweet : 504
MentionsInQuoteReply : 66
Quote : 110
MentionsInQuote : 50
Mentions : 97
Self-Loops : 1064
Reciprocated Vertex Pair Ratio : 0.0390934844192635
Reciprocated Edge Ratio : 0.0752453653217012
Connected Components : 587
Single-Vertex Connected Components : 164
Maximum Vertices in a Connected Component : 3776
Maximum Edges in a Connected Component : 10614
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.938965
Graph Density : 0.000220997923716072
Modularity : 0.475733
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,762 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 10:33 UTC.
The tweets in the network were tweeted over the 1978-day, 5-hour, 58-minute period from Sunday, 10 September 2017 at 17:51 UTC to Thursday, 09 February 2023 at 23:49 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:
[3635] sars,cov [1272] linked,paper [1272] paper,shows [1272] different,xbb [1271] xbb,worrying [1271] shows,different [1271] worrying,very [1271] graphic,linked [1271] very,graphic [1270] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1195] xbb,worrying [1195] very,graphic [1195] shows,different [1195] graphic,linked [1195] linked,paper [1195] different,xbb [1195] worrying,very [1195] paper,shows [1194] youarelobbylud,different [101] graphic,mine Top Word Pairs in Tweet in G2:
[326] sars,cov [305] cov,virus [305] deaths,millions [305] gain,function [303] vast,amounts [303] virus,manipulation [303] millions,people [303] evidence,suggest [303] function,sars [303] caused,deaths Top Word Pairs in Tweet in G3:
[329] sars,cov [80] including,dogs [80] hosts,including [80] infect,broad [80] cov,infect [80] ferrets,otters [80] spectrum,hosts [80] broad,spectrum [80] dogs,mink [80] deer,deer Top Word Pairs in Tweet in G4:
[192] sars,cov [37] 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:
[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 G6:
[313] sars,cov [39] cov,sars [38] against,sars [32] covid,19 [26] spike,protein [25] mers,cov [23] spike,s1 [21] cov,vitro [21] neutralizing,potency [21] potency,against Top Word Pairs in Tweet in G7:
[113] confermare,nel [113] certe,cose [113] dicevo,confermare [113] giugno,2021 [113] ma,precauzione [113] precauzione,certe [113] lavoravo,ministero [113] 2021,lavoravo [113] ministero,salute [113] salute,ma Top Word Pairs in Tweet in G8:
[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 G9:
[129] ll,know [129] cov,ll [129] chicken,farms [129] burning,more [129] sars,cov [129] farms,burning [129] know,chicken [129] menthol,sars [129] more,look [129] look,menthol Top Word Pairs in Tweet in G10:
[122] sars,cov [94] mers,cov [94] lab,antivaxers [94] hear,regions [94] created,lab [94] cov,created [94] regions,prone [94] cov,mers [94] antivaxers,hear [93] prone,mutati 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 G8:
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: