The graph represents a network of 4,731 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 October 2020 at 08:57 UTC.
The requested start date was Wednesday, 28 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 42-minute period from Wednesday, 14 October 2020 at 00:07 UTC to Tuesday, 27 October 2020 at 23:50 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 4731
Unique Edges : 2870
Edges With Duplicates : 4485
Total Edges : 7355
Number of Edge Types : 5
Retweet : 1905
MentionsInRetweet : 2414
Tweet : 617
Mentions : 1485
Replies to : 934
Self-Loops : 649
Reciprocated Vertex Pair Ratio : 0.0100824931255729
Reciprocated Edge Ratio : 0.0199637023593466
Connected Components : 969
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 1631
Maximum Edges in a Connected Component : 3500
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.956784
Graph Density : 0.000196982432902859
Modularity : 0.617373
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,731 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 October 2020 at 08:57 UTC.
The requested start date was Wednesday, 28 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 42-minute period from Wednesday, 14 October 2020 at 00:07 UTC to Tuesday, 27 October 2020 at 23:50 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[3776] sars,cov [615] covid,19 [484] cov,virus [483] stefano,scoglio [400] never,isolated [399] virus,never [391] dr,stefano [389] study,sars [386] swabs,produce [386] produce,95 Top Word Pairs in Tweet in G1:
[362] sars,cov [360] dr,stefano [360] stefano,scoglio [360] scoglio,study [360] study,sars [360] cov,virus [360] virus,never [360] never,isolated [360] isolated,covid [360] covid,19 Top Word Pairs in Tweet in G2:
[469] sars,cov [52] cov,sars [41] covid,19 [39] mers,cov [23] respiratory,syndrome [22] cov,mers [21] social,distancing [16] acute,respiratory [15] severe,acute [15] coronavirus,sars Top Word Pairs in Tweet in G3:
[567] sars,cov [282] antibodies,serum [282] serum,samples [282] samples,patients [282] patients,infected [282] infected,during [282] during,2003 [282] 2003,sars [282] cov,outbreak [282] outbreak,effectively Top Word Pairs in Tweet in G4:
[120] sars,cov [41] pcr,test [37] reiner,fuellmich's [33] christian,drosten [31] cov,isolate [29] drosten,fabricated [29] fabricated,pcr [28] fuellmich's,claim [28] claim,christian [28] test,using Top Word Pairs in Tweet in G5:
[95] sars,cov [60] showed,patients [60] recovered,sars [59] next,showed [55] sars,disease [55] disease,associated [37] associated,sars [36] patients,23 [36] 23,recovered [32] cov,infection Top Word Pairs in Tweet in G6:
[93] olacak,şimdi [93] stefano,scoglio [92] şimdi,aralarında [92] aralarında,2018 [92] 2018,nobel [92] nobel,tıp [92] tıp,ödülü [92] ödülü,adayı [92] adayı,bilimsel [92] bilimsel,araştırmacı Top Word Pairs in Tweet in G7:
[84] sars,cov [18] s1,s2 [14] sure,human [14] human,covs [14] covs,mers [14] mers,s1 [14] s2,fcs [14] fcs,site [14] site,prsvr [14] prsvr,beta Top Word Pairs in Tweet in G8:
[85] sars,cov [45] despite,donor [45] donor,ferrets [45] ferrets,given [45] given,high [45] high,viral [45] viral,dose [45] dose,recipient [45] recipient,animals [45] animals,received Top Word Pairs in Tweet in G9:
[74] compare,lance [74] lance,étude [74] étude,conséquences [74] conséquences,long [74] long,terme [74] terme,#covid19 [74] #covid19,covid [74] covid,long [74] long,pouvez [74] pouvez,participer Top Word Pairs in Tweet in G10:
[100] sars,cov [50] 2003,sars [49] coronavirus,sars [49] cov,virus [49] virus,identified [49] identified,2003 [49] cov,thought [49] thought,animal [49] animal,virus [49] virus,uncertain Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: