The graph represents a network of 5,743 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 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 10:04 UTC.
The tweets in the network were tweeted over the 1976-day, 6-hour, 26-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 08 February 2023 at 00:18 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 : 5743
Unique Edges : 2869
Edges With Duplicates : 11705
Total Edges : 14574
Number of Edge Types : 9
Retweet : 3821
MentionsInRetweet : 4378
MentionsInReplyTo : 4125
Replies to : 1449
Tweet : 499
MentionsInQuoteReply : 60
Quote : 104
MentionsInQuote : 45
Mentions : 93
Self-Loops : 1025
Reciprocated Vertex Pair Ratio : 0.0379512055928092
Reciprocated Edge Ratio : 0.073127147766323
Connected Components : 571
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 3789
Maximum Edges in a Connected Component : 10541
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.852278
Graph Density : 0.00022061294554945
Modularity : 0.475043
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,743 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 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 10:04 UTC.
The tweets in the network were tweeted over the 1976-day, 6-hour, 26-minute period from Sunday, 10 September 2017 at 17:51 UTC to Wednesday, 08 February 2023 at 00:18 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:
[3548] sars,cov [1326] linked,paper [1326] paper,shows [1326] different,xbb [1325] xbb,worrying [1325] shows,different [1325] worrying,very [1325] graphic,linked [1325] very,graphic [1324] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1251] xbb,worrying [1251] very,graphic [1251] shows,different [1251] graphic,linked [1251] linked,paper [1251] different,xbb [1251] worrying,very [1251] paper,shows [1250] youarelobbylud,different [106] graphic,mine Top Word Pairs in Tweet in G2:
[330] sars,cov [309] cov,virus [309] deaths,millions [309] gain,function [307] vast,amounts [307] virus,manipulation [307] millions,people [307] evidence,suggest [307] function,sars [307] caused,deaths Top Word Pairs in Tweet in G3:
[310] 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:
[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 G5:
[147] sars,cov [28] longest,uncover [28] cov,infected [28] cherry,picking [28] acknowledging,sars [28] picking,two [28] reservoirs,took [28] uncover,acknowledging [28] took,longest [28] whose,reservoirs Top Word Pairs in Tweet in G6:
[308] sars,cov [39] cov,sars [38] against,sars [31] covid,19 [26] spike,protein [24] mers,cov [23] spike,s1 [21] neutralizing,potency [21] potency,against [21] cov,vitro 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:
[130] ll,know [130] cov,ll [130] chicken,farms [130] burning,more [130] sars,cov [130] farms,burning [130] know,chicken [130] menthol,sars [130] more,look [130] look,menthol Top Word Pairs in Tweet in G10:
[120] 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 G5:
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: