The graph represents a network of 5,171 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 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 10:03 UTC.
The tweets in the network were tweeted over the 1027-day, 9-hour, 37-minute period from Thursday, 19 March 2020 at 15:22 UTC to Wednesday, 11 January 2023 at 00:59 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 : 5171
Unique Edges : 912
Edges With Duplicates : 10271
Total Edges : 11183
Number of Edge Types : 9
Retweet : 4670
MentionsInRetweet : 4867
MentionsInReplyTo : 967
Replies to : 387
MentionsInQuoteReply : 33
Tweet : 147
Quote : 60
Mentions : 14
MentionsInQuote : 38
Self-Loops : 327
Reciprocated Vertex Pair Ratio : 0.0128228613299139
Reciprocated Edge Ratio : 0.0253210345451257
Connected Components : 212
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 4305
Maximum Edges in a Connected Component : 9319
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.804745
Graph Density : 0.000206814749867865
Modularity : 0.431289
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,171 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 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 10:03 UTC.
The tweets in the network were tweeted over the 1027-day, 9-hour, 37-minute period from Thursday, 19 March 2020 at 15:22 UTC to Wednesday, 11 January 2023 at 00:59 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:
[3208] sars,cov [2253] cov,virus [2215] gain,function [2214] deaths,millions [2212] function,sars [2212] manipulation,caused [2212] caused,deaths [2212] virus,manipulation [2211] vast,amounts [2211] people,vast Top Word Pairs in Tweet in G1:
[2147] sars,cov [2138] millions,people [2138] function,sars [2138] vast,amounts [2138] cov,virus [2138] virus,manipulation [2138] amounts,evidence [2138] evidence,suggest [2138] gain,function [2138] caused,deaths Top Word Pairs in Tweet in G2:
[1532] xbb,worrying [1532] very,graphic [1532] shows,different [1532] graphic,linked [1532] linked,paper [1532] different,xbb [1532] worrying,very [1532] paper,shows [1531] youarelobbylud,different [142] graphic,mine Top Word Pairs in Tweet in G3:
[96] sars,cov [95] #pfizer,#biontech [57] #biontech,used [41] believe,#pfizer [40] rh,macaques [40] 44,believe [40] macaques,usually [40] rhesus,rh [40] used,rhesus [40] sars,sars Top Word Pairs in Tweet in G4:
[87] xbb,vão [87] mundo,serem [87] serem,tão [87] em,mundo [87] problema,em [87] extremamente,importante [87] causar,problema [87] importante,mostrando [87] variantes,xbb [87] nova,variantes Top Word Pairs in Tweet in G5:
[64] sars,cov [11] graphic,linked [11] virus,sars [11] shows,different [11] linked,paper [11] worrying,very [11] xbb,worrying [11] paper,shows [11] different,xbb [11] very,graphic Top Word Pairs in Tweet in G6:
[31] sars,cov [8] cov,virus [4] study,sars [4] wow,wow [4] dr,yeadon [3] xbb,worrying [3] function,sars [3] iceagegardener,bvw_redux [3] nearly,year [3] year,before Top Word Pairs in Tweet in G7:
[5] sars,cov [4] jessemutiny,ubiquitous_romp [4] ubiquitous_romp,diedsuddenly [4] iluvtruth2,mcfunny [4] mcfunny,notmrfarmer [4] aspalaasnasntyr,takethatct [2] mcfunny,tonybaduy [2] sc_ott,mcfunny [2] diedsuddenly,found [2] ncdave4life,justdeano2021 Top Word Pairs in Tweet in G8:
[85] sars,cov [10] cov,sars [9] mers,cov [7] covid,19 [7] cov,mers [5] novel,coronavirus [5] sars,coronavirus [5] ncov,sars [5] 2019,ncov [5] virus,sars Top Word Pairs in Tweet in G9:
[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 G10:
[44] l'unico,chiede [44] tutti,miliardi [44] proprio,ad [44] sono,l'unico [44] cov,19 [44] perché,tra [44] recettori,possibili [44] sars,cov [44] miliardi,recettori [44] lega,proprio Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: