The graph represents a network of 5,756 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1977-day, 6-hour, 50-minute period from Sunday, 10 September 2017 at 17:51 UTC to Thursday, 09 February 2023 at 00:41 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 : 5756
Unique Edges : 2917
Edges With Duplicates : 11742
Total Edges : 14659
Number of Edge Types : 9
Retweet : 3798
MentionsInRetweet : 4384
Replies to : 1482
MentionsInReplyTo : 4178
Tweet : 502
MentionsInQuoteReply : 63
Quote : 107
MentionsInQuote : 49
Mentions : 96
Self-Loops : 1038
Reciprocated Vertex Pair Ratio : 0.0386849936233527
Reciprocated Edge Ratio : 0.0744884038199181
Connected Components : 575
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 3802
Maximum Edges in a Connected Component : 10639
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.907536
Graph Density : 0.000221277808401795
Modularity : 0.475856
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,756 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 2/8/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 09 February 2023 at 11:50 UTC.
The tweets in the network were tweeted over the 1977-day, 6-hour, 50-minute period from Sunday, 10 September 2017 at 17:51 UTC to Thursday, 09 February 2023 at 00:41 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:
[3590] sars,cov [1299] linked,paper [1299] paper,shows [1299] different,xbb [1298] xbb,worrying [1298] shows,different [1298] worrying,very [1298] graphic,linked [1298] very,graphic [1297] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1223] xbb,worrying [1223] very,graphic [1223] shows,different [1223] graphic,linked [1223] linked,paper [1223] different,xbb [1223] worrying,very [1223] paper,shows [1222] youarelobbylud,different [104] graphic,mine Top Word Pairs in Tweet in G2:
[325] sars,cov [304] cov,virus [304] deaths,millions [304] gain,function [302] vast,amounts [302] virus,manipulation [302] millions,people [302] evidence,suggest [302] function,sars [302] caused,deaths Top Word Pairs in Tweet in G3:
[316] sars,cov [80] otters,hamsters [80] hamsters,voles [80] including,dogs [80] ferrets,otters [80] broad,spectrum [80] cov,infect [80] deer,deer [80] voles,deer [80] hosts,including Top Word Pairs in Tweet in G4:
[189] 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:
[310] sars,cov [39] cov,sars [36] against,sars [32] covid,19 [25] mers,cov [25] spike,protein [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:
[125] sars,cov [96] mers,cov [96] lab,antivaxers [96] hear,regions [96] created,lab [96] cov,created [96] regions,prone [96] cov,mers [96] antivaxers,hear [95] 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: