The graph represents a network of 5,690 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 10:48 UTC.
The tweets in the network were tweeted over the 1974-day, 6-hour, 51-minute period from Sunday, 10 September 2017 at 17:51 UTC to Monday, 06 February 2023 at 00:43 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 : 5690
Unique Edges : 2764
Edges With Duplicates : 11660
Total Edges : 14424
Number of Edge Types : 9
Retweet : 3877
MentionsInRetweet : 4421
MentionsInReplyTo : 3979
Replies to : 1385
Tweet : 476
Mentions : 83
MentionsInQuoteReply : 60
Quote : 100
MentionsInQuote : 43
Self-Loops : 979
Reciprocated Vertex Pair Ratio : 0.0371387283236994
Reciprocated Edge Ratio : 0.0716176675491152
Connected Components : 544
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 3830
Maximum Edges in a Connected Component : 10570
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.70654
Graph Density : 0.000221714831539051
Modularity : 0.471955
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,690 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 10:48 UTC.
The tweets in the network were tweeted over the 1974-day, 6-hour, 51-minute period from Sunday, 10 September 2017 at 17:51 UTC to Monday, 06 February 2023 at 00:43 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:
[3402] sars,cov [1439] linked,paper [1439] paper,shows [1439] different,xbb [1438] xbb,worrying [1438] shows,different [1438] worrying,very [1438] graphic,linked [1438] very,graphic [1437] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1359] xbb,worrying [1359] very,graphic [1359] shows,different [1359] graphic,linked [1359] linked,paper [1359] different,xbb [1359] worrying,very [1359] paper,shows [1358] youarelobbylud,different [114] graphic,mine Top Word Pairs in Tweet in G2:
[334] sars,cov [317] cov,virus [317] deaths,millions [316] gain,function [315] function,sars [315] millions,people [315] caused,deaths [315] evidence,suggest [315] virus,manipulation [315] manipulation,caused Top Word Pairs in Tweet in G3:
[287] sars,cov [81] including,dogs [81] hosts,including [81] infect,broad [81] cov,infect [81] ferrets,otters [81] spectrum,hosts [81] broad,spectrum [81] dogs,mink [81] deer,deer 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:
[138] sars,cov [27] two,viruses [27] reservoirs,took [27] uncover,acknowledging [27] acknowledging,sars [27] viruses,whose [27] longest,uncover [27] cherry,picking [27] cov,infected [27] picking,two Top Word Pairs in Tweet in G6:
[292] sars,cov [36] against,sars [35] cov,sars [30] covid,19 [25] spike,protein [23] mers,cov [22] spike,s1 [20] cov,vitro [20] cov,pseudovirus [20] potency,against Top Word Pairs in Tweet in G7:
[112] 2021,lavoravo [112] certe,cose [112] dicevo,confermare [112] confermare,nel [112] precauzione,certe [112] salute,ma [112] ministero,salute [112] correva,giugno [112] lavoravo,ministero [112] cose,dicevo Top Word Pairs in Tweet in G8:
[124] sars,cov [84] cov,mers [83] mers,cov [83] lab,antivaxers [83] hear,regions [83] created,lab [83] cov,created [83] regions,prone [83] antivaxers,hear [82] prone,mutati 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:
[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 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: