The graph represents a network of 5,263 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 10:47 UTC.
The tweets in the network were tweeted over the 1032-day, 8-hour, 43-minute period from Thursday, 19 March 2020 at 15:22 UTC to Monday, 16 January 2023 at 00:05 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 : 5263
Unique Edges : 1176
Edges With Duplicates : 10429
Total Edges : 11605
Number of Edge Types : 9
Retweet : 4497
MentionsInRetweet : 4751
MentionsInReplyTo : 1346
Replies to : 627
Tweet : 211
MentionsInQuoteReply : 43
MentionsInQuote : 40
Quote : 67
Mentions : 23
Self-Loops : 492
Reciprocated Vertex Pair Ratio : 0.0176376269374666
Reciprocated Edge Ratio : 0.0346638655462185
Connected Components : 290
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 4318
Maximum Edges in a Connected Component : 9549
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.386418
Graph Density : 0.000206254762329301
Modularity : 0.441523
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,263 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 10:47 UTC.
The tweets in the network were tweeted over the 1032-day, 8-hour, 43-minute period from Thursday, 19 March 2020 at 15:22 UTC to Monday, 16 January 2023 at 00:05 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:
[3239] sars,cov [1981] cov,virus [1936] gain,function [1934] deaths,millions [1932] function,sars [1932] manipulation,caused [1932] caused,deaths [1932] virus,manipulation [1931] vast,amounts [1931] people,vast Top Word Pairs in Tweet in G1:
[1866] sars,cov [1859] millions,people [1859] function,sars [1859] vast,amounts [1859] cov,virus [1859] virus,manipulation [1859] amounts,evidence [1859] evidence,suggest [1859] gain,function [1859] caused,deaths Top Word Pairs in Tweet in G2:
[1530] graphic,linked [1530] shows,different [1530] linked,paper [1530] worrying,very [1530] xbb,worrying [1530] paper,shows [1530] different,xbb [1530] very,graphic [1529] youarelobbylud,different [140] wanted,try Top Word Pairs in Tweet in G3:
[79] 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:
[50] 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 [38] ma,sono Top Word Pairs in Tweet in G5:
[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 G6:
[125] sars,cov [14] covid,19 [13] cov,sars [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 [93] sars,cov [61] #biontech,used [45] believe,#pfizer [44] rh,macaques [44] develop,sars [44] macaques,usually [44] usually,develop [44] sars,sars [44] rhesus,rh Top Word Pairs in Tweet in G8:
[7] sars,cov [4] jessemutiny,ubiquitous_romp [4] mcfunny,notmrfarmer [4] iluvtruth2,mcfunny [4] aspalaasnasntyr,takethatct [4] ubiquitous_romp,diedsuddenly [3] cov,mers [2] justplaying2win,dcgreenzone1 [2] diedsuddenly,found [2] alaskacryptogi1,tenebra99 Top Word Pairs in Tweet in G9:
[48] sars,cov [13] covid,19 [12] cov,virus [7] effective,against [6] cov,shares [6] severely,ill [6] against,sars [6] genome,sars [6] cov,severely [6] patients,sars 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: