The graph represents a network of 6,726 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 10:50 UTC.
The tweets in the network were tweeted over the 1327-day, 6-hour, 59-minute period from Sunday, 12 May 2019 at 17:49 UTC to Friday, 30 December 2022 at 00:48 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 : 6726
Unique Edges : 5257
Edges With Duplicates : 11915
Total Edges : 17172
Number of Edge Types : 9
MentionsInReplyTo : 6051
Replies to : 2589
Retweet : 2844
MentionsInRetweet : 4224
Tweet : 884
Mentions : 204
Quote : 157
MentionsInQuoteReply : 162
MentionsInQuote : 57
Self-Loops : 1740
Reciprocated Vertex Pair Ratio : 0.048403138468339
Reciprocated Edge Ratio : 0.0923368820491198
Connected Components : 915
Single-Vertex Connected Components : 252
Maximum Vertices in a Connected Component : 3773
Maximum Edges in a Connected Component : 11166
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.796913
Graph Density : 0.000209739268466043
Modularity : 0.534012
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,726 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 10:50 UTC.
The tweets in the network were tweeted over the 1327-day, 6-hour, 59-minute period from Sunday, 12 May 2019 at 17:49 UTC to Friday, 30 December 2022 at 00:48 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:
[1091] sars,cov [253] internationaux,cour [253] d'avocats,internationaux [253] conjointe,d'avocats [253] plainte,conjointe [253] cour,pénale [251] internationale,génocide [251] pénale,internationale [249] génocide,crime [247] crime,contre Top Word Pairs in Tweet in G1:
[248] internationaux,cour [248] d'avocats,internationaux [248] conjointe,d'avocats [248] plainte,conjointe [248] cour,pénale [246] pénale,internationale [246] internationale,génocide [244] génocide,crime [242] crime,contre [132] pam33771,plainte Top Word Pairs in Tweet in G2:
[166] sars,cov [92] cov,sars [89] mers,cov [88] cov,coronavirus [87] tryangregory,mers [87] virus,caused [87] related,sars [87] mers,caused [87] influenza,virus [87] coronavirus,related Top Word Pairs in Tweet in G3:
[48] sars,cov [7] against,sars [7] early,treatment [5] spike,protein [5] effective,against [4] 84,dna [4] sars,cov2 [4] cov,sars [4] cov,2003 [3] shares,84 Top Word Pairs in Tweet in G4:
[39] sars,cov [30] baric,lab [16] unc,baric [15] lab,2013 [15] 2014,mice [15] escaped,part [15] experiments,mous [15] mice,escaped [15] 2013,2014 [15] part,baric Top Word Pairs in Tweet in G5:
[143] sars,cov [16] cov,sars [15] covid,19 [5] cov,strains [5] mers,cov [5] proteins,sars [4] spike,proteins [4] horseshoe,bats [4] spread,sars [4] found,bat Top Word Pairs in Tweet in G6:
[22] sars,cov [5] owns,test [5] pcr,tell [5] oh,right [5] testing,pcr [5] ethicalskeptic,usmortality [5] usmortality,testing [5] tell,anything [5] anything,oh [5] covid,19 Top Word Pairs in Tweet in G7:
[19] sars,cov [5] mers,cov [3] effekte,hiv [3] corona,meinen [3] cov,sars [3] hiv,herpes [3] cov,immunsystem [3] idee,die [3] die,idee [3] meinen,sars Top Word Pairs in Tweet in G8:
[42] mincyt_ve,hecho [42] décadas,hayan [42] sars,cov [42] gripe,aviar [42] aviar,sars [42] últimas,décadas [42] reproducido,situaciones [42] hayan,reproducido [42] complejas,gripe [42] situaciones,complejas Top Word Pairs in Tweet in G9:
[4] sars,cov [3] sars,related [2] tenebra99,liamkav [2] frankdelia7,monstercoyliar [2] ghoppe,dcgreenzone1 [2] alaskacryptogi1,tenebra99 [2] policing_uk,brockkrause [2] liamkav,agoldsmithesq [2] ncdave4life,coralblob [2] coralblob,skepticalmutant Top Word Pairs in Tweet in G10:
[32] sars,cov [13] cov,spike [12] found,southern [12] china,sars [12] spike,tip [12] bind,well [12] tip,bind [12] carlzimmer,preprint [12] southern,china [12] human,cells Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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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: