The graph represents a network of 5,251 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 10:53 UTC.
The tweets in the network were tweeted over the 1031-day, 9-hour, 29-minute period from Thursday, 19 March 2020 at 15:22 UTC to Sunday, 15 January 2023 at 00:52 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 : 5251
Unique Edges : 1130
Edges With Duplicates : 10408
Total Edges : 11538
Number of Edge Types : 9
Retweet : 4522
MentionsInRetweet : 4747
Replies to : 595
MentionsInReplyTo : 1307
Tweet : 197
MentionsInQuoteReply : 41
MentionsInQuote : 39
Quote : 66
Mentions : 24
Self-Loops : 472
Reciprocated Vertex Pair Ratio : 0.0172073848359921
Reciprocated Edge Ratio : 0.0338325991189427
Connected Components : 279
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 4346
Maximum Edges in a Connected Component : 9570
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.360532
Graph Density : 0.00020585648085172
Modularity : 0.43892
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,251 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 10:53 UTC.
The tweets in the network were tweeted over the 1031-day, 9-hour, 29-minute period from Thursday, 19 March 2020 at 15:22 UTC to Sunday, 15 January 2023 at 00:52 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:
[3236] sars,cov [2030] cov,virus [1985] gain,function [1983] deaths,millions [1981] function,sars [1981] manipulation,caused [1981] caused,deaths [1981] virus,manipulation [1980] vast,amounts [1980] people,vast Top Word Pairs in Tweet in G1:
[1915] sars,cov [1908] millions,people [1908] function,sars [1908] vast,amounts [1908] cov,virus [1908] virus,manipulation [1908] amounts,evidence [1908] evidence,suggest [1908] gain,function [1908] caused,deaths Top Word Pairs in Tweet in G2:
[1529] graphic,linked [1529] shows,different [1529] linked,paper [1529] worrying,very [1529] xbb,worrying [1529] paper,shows [1529] different,xbb [1529] very,graphic [1528] youarelobbylud,different [140] wanted,try Top Word Pairs in Tweet in G3:
[76] sars,cov [12] graphic,linked [12] virus,sars [12] shows,different [12] linked,paper [12] worrying,very [12] xbb,worrying [12] paper,shows [12] different,xbb [12] very,graphic Top Word Pairs in Tweet in G4:
[51] sars,cov [43] d'avocats,internationaux [43] internationale,génocide [43] plainte,conjointe [43] cour,pénale [43] pénale,internationale [43] conjointe,d'avocats [43] internationaux,cour [41] génocide,crime [39] ma,sono Top Word Pairs in Tweet in G5:
[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 G6:
[122] sars,cov [13] cov,sars [12] covid,19 [9] mers,cov [8] virus,sars [7] cov,mers [6] end,quote [6] sars,coronavirus [6] stock,2019 [6] 2019,ncov Top Word Pairs in Tweet in G7:
[101] #pfizer,#biontech [94] sars,cov [61] #biontech,used [45] believe,#pfizer [44] rh,macaques [44] 44,believe [44] macaques,usually [44] rhesus,rh [44] used,rhesus [44] sars,sars Top Word Pairs in Tweet in G8:
[7] sars,cov [4] jessemutiny,ubiquitous_romp [4] aspalaasnasntyr,takethatct [4] ubiquitous_romp,diedsuddenly [4] iluvtruth2,mcfunny [4] mcfunny,notmrfarmer [3] cov,mers [2] carlsmythe,_mamadeb [2] wendy_lynnette,docstardust [2] site,fingerprint Top Word Pairs in Tweet in G9:
[47] sars,cov [13] covid,19 [12] cov,virus [6] cov,shares [6] severely,ill [6] against,sars [6] genome,sars [6] cov,severely [6] patients,sars [6] shares,genome Top Word Pairs in Tweet in G10:
[3] sars,cov [2] bb6wbgwjfr,gbaldy62 [2] mjoyce1950,michael94173566 [2] justin00wilton,mario19795947 [2] eddiepullman75,somedayuwillsee [2] skullapple27,dray3time [2] somedayuwillsee,unity_coach [2] cha0te,skullapple27 [2] blaylockmooky,carrieh74742197 [2] somedude710,zentigernz Top Replied-To in Entire Graph:
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 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: