The graph represents a network of 5,201 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 10:32 UTC.
The tweets in the network were tweeted over the 1029-day, 9-hour, 16-minute period from Thursday, 19 March 2020 at 15:22 UTC to Friday, 13 January 2023 at 00:38 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 : 5201
Unique Edges : 1019
Edges With Duplicates : 10332
Total Edges : 11351
Number of Edge Types : 9
Retweet : 4591
MentionsInRetweet : 4808
MentionsInReplyTo : 1127
Replies to : 492
Tweet : 174
MentionsInQuoteReply : 36
MentionsInQuote : 39
Quote : 65
Mentions : 19
Self-Loops : 403
Reciprocated Vertex Pair Ratio : 0.0148739343370216
Reciprocated Edge Ratio : 0.0293118856121537
Connected Components : 247
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 4235
Maximum Edges in a Connected Component : 9271
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.890203
Graph Density : 0.000206875896647094
Modularity : 0.435834
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,201 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 10:32 UTC.
The tweets in the network were tweeted over the 1029-day, 9-hour, 16-minute period from Thursday, 19 March 2020 at 15:22 UTC to Friday, 13 January 2023 at 00:38 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:
[3220] sars,cov [2137] cov,virus [2094] gain,function [2092] deaths,millions [2090] function,sars [2090] manipulation,caused [2090] caused,deaths [2090] virus,manipulation [2089] vast,amounts [2089] people,vast Top Word Pairs in Tweet in G1:
[2027] sars,cov [2018] millions,people [2018] function,sars [2018] vast,amounts [2018] cov,virus [2018] virus,manipulation [2018] amounts,evidence [2018] evidence,suggest [2018] gain,function [2018] caused,deaths Top Word Pairs in Tweet in G2:
[1525] very,graphic [1525] xbb,worrying [1525] different,xbb [1525] linked,paper [1525] worrying,very [1525] shows,different [1525] paper,shows [1525] graphic,linked [1524] youarelobbylud,different [139] mine,wanted Top Word Pairs in Tweet in G3:
[72] sars,cov [12] very,graphic [12] xbb,worrying [12] different,xbb [12] linked,paper [12] worrying,very [12] shows,different [12] virus,sars [12] paper,shows [12] youarelobbylud,different 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:
[100] #pfizer,#biontech [94] sars,cov [60] #biontech,used [44] believe,#pfizer [43] rh,macaques [43] develop,sars [43] macaques,usually [43] usually,develop [43] sars,sars [43] rhesus,rh Top Word Pairs in Tweet in G6:
[116] sars,cov [13] cov,sars [10] covid,19 [9] mers,cov [7] cov,mers [6] virus,sars [6] end,quote [6] sars,coronavirus [6] stock,2019 [6] 2019,ncov Top Word Pairs in Tweet in G7:
[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 G8:
[47] sars,cov [13] covid,19 [12] cov,virus [6] against,sars [6] patients,sars [6] ill,patients [6] cov,severely [6] severely,ill [6] cov,shares [6] breathe,nose Top Word Pairs in Tweet in G9:
[40] génocide,crime [40] pénale,internationale [40] conjointe,d'avocats [40] cour,pénale [40] internationale,génocide [40] d'avocats,internationaux [40] internationaux,cour [40] plainte,conjointe [35] génocide,cours [35] cours,plainte Top Word Pairs in Tweet in G10:
[44] 30,39 [44] mais,mortal [44] 20,29 [44] 011,30 [44] anos,011 [44] fatalidade,0003 [44] cov,taxa [44] taxa,fatalidade [44] 29,anos [44] 0003,19 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: