The graph represents a network of 5,785 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 11:54 UTC.
The tweets in the network were tweeted over the 1979-day, 6-hour, 53-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 11 February 2023 at 00:45 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 : 5785
Unique Edges : 2983
Edges With Duplicates : 11773
Total Edges : 14756
Number of Edge Types : 9
Retweet : 3760
MentionsInRetweet : 4359
Replies to : 1544
MentionsInReplyTo : 4251
Tweet : 518
MentionsInQuoteReply : 67
Mentions : 94
Quote : 112
MentionsInQuote : 51
Self-Loops : 1089
Reciprocated Vertex Pair Ratio : 0.0396053558844257
Reciprocated Edge Ratio : 0.0761930585683297
Connected Components : 597
Single-Vertex Connected Components : 168
Maximum Vertices in a Connected Component : 3746
Maximum Edges in a Connected Component : 10557
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.886999
Graph Density : 0.000220439420402123
Modularity : 0.476673
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,785 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 11:54 UTC.
The tweets in the network were tweeted over the 1979-day, 6-hour, 53-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 11 February 2023 at 00:45 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:
[3679] sars,cov [1255] linked,paper [1255] paper,shows [1255] different,xbb [1254] xbb,worrying [1254] shows,different [1254] worrying,very [1254] graphic,linked [1254] very,graphic [1253] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1180] xbb,worrying [1180] very,graphic [1180] shows,different [1180] graphic,linked [1180] linked,paper [1180] different,xbb [1180] worrying,very [1180] paper,shows [1179] youarelobbylud,different [100] graphic,mine Top Word Pairs in Tweet in G2:
[331] sars,cov [307] cov,virus [306] gain,function [306] deaths,millions [304] function,sars [304] millions,people [304] caused,deaths [304] evidence,suggest [304] virus,manipulation [304] manipulation,caused Top Word Pairs in Tweet in G3:
[340] sars,cov [82] including,dogs [82] hosts,including [82] infect,broad [82] cov,infect [82] ferrets,otters [82] spectrum,hosts [82] broad,spectrum [82] dogs,mink [82] deer,deer Top Word Pairs in Tweet in G4:
[205] 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:
[318] sars,cov [40] cov,sars [38] against,sars [32] covid,19 [28] spike,protein [25] mers,cov [23] spike,s1 [21] cov,pseudovirus [21] neutralizing,potency [21] s1,igys 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 [95] mers,cov [95] iancopeland5,sars [95] lab,antivaxers [95] hear,regions [95] created,lab [95] cov,created [95] regions,prone [95] cov,mers [95] antivaxers,hear 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: