The graph represents a network of 5,188 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 14:46 UTC.
The tweets in the network were tweeted over the 1026-day, 6-hour, 52-minute period from Thursday, 19 March 2020 at 15:22 UTC to Monday, 09 January 2023 at 22:15 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 : 5188
Unique Edges : 868
Edges With Duplicates : 10207
Total Edges : 11075
Number of Edge Types : 9
Retweet : 4701
MentionsInRetweet : 4881
MentionsInReplyTo : 907
Replies to : 339
MentionsInQuoteReply : 23
Tweet : 141
Quote : 55
Mentions : 10
MentionsInQuote : 18
Self-Loops : 290
Reciprocated Vertex Pair Ratio : 0.0115279048490393
Reciprocated Edge Ratio : 0.0227930535455861
Connected Components : 196
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 4325
Maximum Edges in a Connected Component : 9243
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.695247
Graph Density : 0.000205424301516498
Modularity : 0.430075
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,188 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 14:46 UTC.
The tweets in the network were tweeted over the 1026-day, 6-hour, 52-minute period from Thursday, 19 March 2020 at 15:22 UTC to Monday, 09 January 2023 at 22:15 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:
[3211] sars,cov [2396] cov,virus [2359] gain,function [2358] deaths,millions [2356] function,sars [2356] manipulation,caused [2356] caused,deaths [2356] virus,manipulation [2355] vast,amounts [2355] people,vast Top Word Pairs in Tweet in G1:
[2293] sars,cov [2284] millions,people [2284] function,sars [2284] vast,amounts [2284] cov,virus [2284] virus,manipulation [2284] amounts,evidence [2284] evidence,suggest [2284] gain,function [2284] caused,deaths Top Word Pairs in Tweet in G2:
[1530] xbb,worrying [1530] very,graphic [1530] shows,different [1530] graphic,linked [1530] linked,paper [1530] different,xbb [1530] worrying,very [1530] paper,shows [1529] youarelobbylud,different [140] graphic,mine Top Word Pairs in Tweet in G3:
[86] xbb,vão [86] mundo,serem [86] serem,tão [86] em,mundo [86] problema,em [86] extremamente,importante [86] causar,problema [86] importante,mostrando [86] variantes,xbb [86] nova,variantes Top Word Pairs in Tweet in G4:
[60] sars,cov [11] very,graphic [11] xbb,worrying [11] different,xbb [11] linked,paper [11] worrying,very [11] shows,different [11] paper,shows [11] youarelobbylud,different [11] graphic,linked Top Word Pairs in Tweet in G5:
[29] sars,cov [8] cov,virus [4] study,sars [4] wow,wow [4] dr,yeadon [3] function,sars [3] iceagegardener,bvw_redux [3] nearly,year [3] year,before [3] wtyl_live,neherbirgitta Top Word Pairs in Tweet in G6:
[5] sars,cov [4] jessemutiny,ubiquitous_romp [4] mcfunny,notmrfarmer [4] iluvtruth2,mcfunny [4] aspalaasnasntyr,takethatct [4] ubiquitous_romp,diedsuddenly [2] justplaying2win,dcgreenzone1 [2] diedsuddenly,found [2] alaskacryptogi1,tenebra99 [2] hauxton,fudyou2 Top Word Pairs in Tweet in G7:
[53] l'unico,chiede [53] tutti,miliardi [53] proprio,ad [53] sono,l'unico [53] cov,19 [53] perché,tra [53] recettori,possibili [53] sars,cov [53] miliardi,recettori [53] lega,proprio Top Word Pairs in Tweet in G8:
[46] 30,39 [46] mais,mortal [46] 20,29 [46] 011,30 [46] anos,011 [46] fatalidade,0003 [46] cov,taxa [46] taxa,fatalidade [46] 29,anos [46] 0003,19 Top Word Pairs in Tweet in G9:
[76] sars,cov [10] cov,sars [9] mers,cov [7] cov,mers [5] novel,coronavirus [5] sars,coronavirus [5] ncov,sars [5] 2019,ncov [5] virus,sars [5] covid,19 Top Word Pairs in Tweet in G10:
[2] mjoyce1950,michael94173566 [2] justin00wilton,mario19795947 [2] eddiepullman75,somedayuwillsee [2] skullapple27,dray3time [2] somedayuwillsee,unity_coach [2] cha0te,skullapple27 [2] sars,cov [2] blaylockmooky,carrieh74742197 [2] somedude710,zentigernz [2] dhasper,mjoyce1950 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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: