The graph represents a network of 5,654 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 10:33 UTC.
The tweets in the network were tweeted over the 1971-day, 7-hour, 3-minute period from Sunday, 10 September 2017 at 17:51 UTC to Friday, 03 February 2023 at 00:55 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 : 5654
Unique Edges : 2530
Edges With Duplicates : 11624
Total Edges : 14154
Number of Edge Types : 9
Retweet : 3950
MentionsInRetweet : 4485
Replies to : 1307
MentionsInReplyTo : 3711
Tweet : 438
Quote : 96
Mentions : 65
MentionsInQuote : 43
MentionsInQuoteReply : 59
Self-Loops : 929
Reciprocated Vertex Pair Ratio : 0.0349130886941019
Reciprocated Edge Ratio : 0.0674705713465403
Connected Components : 533
Single-Vertex Connected Components : 154
Maximum Vertices in a Connected Component : 3817
Maximum Edges in a Connected Component : 10314
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.546545
Graph Density : 0.000217945888472402
Modularity : 0.466792
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,654 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 10:33 UTC.
The tweets in the network were tweeted over the 1971-day, 7-hour, 3-minute period from Sunday, 10 September 2017 at 17:51 UTC to Friday, 03 February 2023 at 00:55 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:
[3331] sars,cov [1561] linked,paper [1561] paper,shows [1561] different,xbb [1560] xbb,worrying [1560] shows,different [1560] worrying,very [1560] graphic,linked [1560] very,graphic [1559] youarelobbylud,different Top Word Pairs in Tweet in G1:
[1478] xbb,worrying [1478] very,graphic [1478] shows,different [1478] graphic,linked [1478] linked,paper [1478] different,xbb [1478] worrying,very [1478] paper,shows [1477] youarelobbylud,different [126] graphic,mine Top Word Pairs in Tweet in G2:
[453] sars,cov [421] cov,virus [421] deaths,millions [419] vast,amounts [419] virus,manipulation [419] millions,people [419] evidence,suggest [419] function,sars [419] caused,deaths [419] people,vast Top Word Pairs in Tweet in G3:
[175] zorg,zijn [175] zijn,allemaal [175] dochter,zorg [175] meer,longontstekingen [175] griep,sars [175] mijn,dochter [175] sars,cov [175] nu,griep [175] allemaal,gevaccineerde [175] ze,nu Top Word Pairs in Tweet in G4:
[291] sars,cov [38] cov,sars [32] against,sars [32] covid,19 [24] spike,protein [21] mers,cov [19] cov,vitro [18] neutralizing,potency [18] potency,against [18] cov,mers Top Word Pairs in Tweet in G5:
[164] sars,cov [102] #pfizer,#biontech [62] #biontech,used [45] believe,#pfizer [44] rh,macaques [44] used,rhesus [44] infection,rh [44] develop,sars [44] usually,develop [44] cov,infection Top Word Pairs in Tweet in G6:
[121] sars,cov [76] including,dogs [76] hamsters,voles [76] mink,ferrets [76] deer,deer [76] broad,spectrum [76] otters,hamsters [76] hosts,including [76] spectrum,hosts [76] dogs,mink Top Word Pairs in Tweet in G7:
[152] sars,cov [34] cov,over [34] over,decade [32] research,sars [32] based,research [32] known,based [32] immune,injury [32] fitterhappieraj,degree [32] injury,known [32] degree,immune Top Word Pairs in Tweet in G8:
[108] confermare,nel [108] certe,cose [108] dicevo,confermare [108] giugno,2021 [108] ma,precauzione [108] precauzione,certe [108] lavoravo,ministero [108] 2021,lavoravo [108] ministero,salute [108] salute,ma Top Word Pairs in Tweet in G9:
[125] sars,cov [122] menthol,sars [122] know,chicken [122] farms,burning [122] more,look [122] burning,more [122] cov,ll [122] chicken,farms [122] look,menthol [122] ll,know Top Word Pairs in Tweet in G10:
[86] problema,em [86] mostrando,nova [86] mundo,serem [86] importante,mostrando [86] fio,extremamente [86] em,mundo [86] variantes,xbb [86] causar,problema [86] xbb,vão [86] extremamente,importante Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: