The graph represents a network of 5,146 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 10:46 UTC.
The tweets in the network were tweeted over the 1000-day, 16-hour, 54-minute period from Monday, 13 April 2020 at 07:20 UTC to Monday, 09 January 2023 at 00:14 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 : 5146
Unique Edges : 797
Edges With Duplicates : 10198
Total Edges : 10995
Number of Edge Types : 9
Retweet : 4729
MentionsInRetweet : 4900
MentionsInReplyTo : 832
Replies to : 304
Tweet : 127
Quote : 56
MentionsInQuote : 18
MentionsInQuoteReply : 20
Mentions : 9
Self-Loops : 268
Reciprocated Vertex Pair Ratio : 0.0103531151784064
Reciprocated Edge Ratio : 0.0204940530649588
Connected Components : 177
Single-Vertex Connected Components : 42
Maximum Vertices in a Connected Component : 4344
Maximum Edges in a Connected Component : 9283
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.651504
Graph Density : 0.0002064120301388
Modularity : 0.425774
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,146 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 10:46 UTC.
The tweets in the network were tweeted over the 1000-day, 16-hour, 54-minute period from Monday, 13 April 2020 at 07:20 UTC to Monday, 09 January 2023 at 00:14 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:
[3191] sars,cov [2423] cov,virus [2391] gain,function [2390] deaths,millions [2388] function,sars [2388] manipulation,caused [2388] caused,deaths [2388] virus,manipulation [2387] vast,amounts [2387] people,vast Top Word Pairs in Tweet in G1:
[2325] sars,cov [2316] millions,people [2316] function,sars [2316] vast,amounts [2316] cov,virus [2316] virus,manipulation [2316] amounts,evidence [2316] evidence,suggest [2316] gain,function [2316] caused,deaths Top Word Pairs in Tweet in G2:
[1532] different,xbb [1532] paper,shows [1532] graphic,linked [1532] very,graphic [1532] shows,different [1532] linked,paper [1532] xbb,worrying [1532] worrying,very [1531] youarelobbylud,different [140] distance,variants Top Word Pairs in Tweet in G3:
[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 G4:
[69] sars,cov [11] graphic,linked [11] shows,different [11] linked,paper [11] worrying,very [11] xbb,worrying [11] paper,shows [11] different,xbb [11] very,graphic [11] youarelobbylud,different Top Word Pairs in Tweet in G5:
[58] l'unico,chiede [58] tutti,miliardi [58] proprio,ad [58] sono,l'unico [58] cov,19 [58] perché,tra [58] recettori,possibili [58] sars,cov [58] miliardi,recettori [58] lega,proprio 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:
[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 Word Pairs in Tweet in G8:
[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 Word Pairs in Tweet in G9:
[72] sars,cov [8] cov,sars [7] mers,cov [6] covid,19 [6] cov,mers [5] novel,coronavirus [5] virus,sars [4] hiclover,hospital [4] hospital,medical [4] common,cold Top Word Pairs in Tweet in G10:
[2] erikpar51701323,australispiper [2] elquesosabio,earthisaglobe [2] dunvirkin,kenneth72712993 [2] nikolovscience,grantde [2] chuzbucket,gillesnfio [2] martindn1001,breakingnewsfi2 [2] lisamaroz,ellecam7 [2] terranceandphi1,1_tmf_ [2] australispiper,takethatdarwin [2] breakingnewsfi2,elquesosabio Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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: