The graph represents a network of 6,694 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 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 11:52 UTC.
The tweets in the network were tweeted over the 1326-day, 16-hour, 40-minute period from Sunday, 12 May 2019 at 17:49 UTC to Thursday, 29 December 2022 at 10:29 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 : 6694
Unique Edges : 5168
Edges With Duplicates : 11871
Total Edges : 17039
Number of Edge Types : 9
MentionsInReplyTo : 5935
Replies to : 2564
Retweet : 2861
MentionsInRetweet : 4233
Tweet : 875
Mentions : 203
Quote : 153
MentionsInQuoteReply : 160
MentionsInQuote : 55
Self-Loops : 1725
Reciprocated Vertex Pair Ratio : 0.0484104852203012
Reciprocated Edge Ratio : 0.0923502500265986
Connected Components : 917
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 3702
Maximum Edges in a Connected Component : 10979
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.828561
Graph Density : 0.000209785330615119
Modularity : 0.533556
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,694 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 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 11:52 UTC.
The tweets in the network were tweeted over the 1326-day, 16-hour, 40-minute period from Sunday, 12 May 2019 at 17:49 UTC to Thursday, 29 December 2022 at 10:29 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:
[1070] 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:
[155] sars,cov [91] cov,sars [89] mers,cov [88] cov,coronavirus [87] tryangregory,mers [87] influenza,virus [87] related,sars [87] coronavirus,related [87] caused,influenza [87] caused,mers Top Word Pairs in Tweet in G3:
[48] baric,lab [34] sars,cov [25] unc,baric [24] covid,accident [24] escaped,part [24] mice,escaped [24] accident,unc [24] cross,experiments [24] part,baric [24] lab,cross Top Word Pairs in Tweet in G4:
[142] sars,cov [16] cov,sars [15] covid,19 [5] mers,cov [5] cov,strains [5] proteins,sars [4] gain,function [4] spike,proteins [4] function,research [4] spread,sars Top Word Pairs in Tweet in G5:
[39] sars,cov [6] against,sars [5] early,treatment [4] 84,dna [4] sars,cov2 [4] cov,sars [4] cov,2003 [4] cov,virus [4] effective,against [3] ei,ole 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:
[21] sars,cov [6] mers,cov [3] die,idee [3] logra,restaurar [3] infecciones,sars [3] cov,virus [3] herpes,corona [3] gripe,sars [3] cov,sars [3] tras,infecciones Top Word Pairs in Tweet in G8:
[41] mincyt_ve,hecho [41] décadas,hayan [41] sars,cov [41] gripe,aviar [41] últimas,décadas [41] aviar,sars [41] reproducido,situaciones [41] hayan,reproducido [41] situaciones,complejas [41] complejas,gripe 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 G5:
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:
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: