The graph represents a network of 10,060 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 Friday, 07 August 2020 at 09:04 UTC.
The requested start date was Friday, 07 August 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 11-day, 8-hour, 17-minute period from Sunday, 26 July 2020 at 03:58 UTC to Thursday, 06 August 2020 at 12:15 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 : 10060
Unique Edges : 6322
Edges With Duplicates : 11761
Total Edges : 18083
Number of Edge Types : 5
Retweet : 5076
MentionsInRetweet : 6710
Replies to : 1717
Mentions : 3877
Tweet : 703
Self-Loops : 778
Reciprocated Vertex Pair Ratio : 0.00959658787986494
Reciprocated Edge Ratio : 0.0190107375462067
Connected Components : 1050
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 5479
Maximum Edges in a Connected Component : 11473
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.835924
Graph Density : 0.000112279894546628
Modularity : 0.604968
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 10,060 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 Friday, 07 August 2020 at 09:04 UTC.
The requested start date was Friday, 07 August 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 11-day, 8-hour, 17-minute period from Sunday, 26 July 2020 at 03:58 UTC to Thursday, 06 August 2020 at 12:15 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:
[8202] sars,cov [1818] virus,sars [1588] pcr,sars [1577] cov,negativo [1546] bom,dia [1545] negativo,bom [1533] jairbolsonaro,pcr [1031] cov,virus [859] cov,separaron [859] separaron,genéticamente Top Word Pairs in Tweet in G1:
[1538] sars,cov [1533] pcr,sars [1533] cov,negativo [1531] negativo,bom [1531] bom,dia [1529] jairbolsonaro,pcr [4] hcq,tem [4] tem,fortes [4] fortes,efeitos [4] efeitos,antivirais Top Word Pairs in Tweet in G2:
[1713] sars,cov [1708] virus,sars [854] pasada,estudio [854] estudio,virus [854] cov,virus [854] cov,separaron [854] separaron,genéticamente [854] genéticamente,hacia [854] hacia,año [854] año,200 Top Word Pairs in Tweet in G3:
[643] sars,cov [91] cov,sars [80] covid,19 [49] sars,cov2 [44] dr,fauci [39] studies,shown [38] cov,vitro [38] vitro,studies [37] cov,infection [37] #qplusnews,#closys Top Word Pairs in Tweet in G4:
[474] sars,cov [45] covid,19 [38] mers,cov [36] cov,infection [31] cov,sars [23] respiratory,syndrome [20] cov,mers [18] acute,respiratory [18] coronavirus,sars [18] infection,spread Top Word Pairs in Tweet in G5:
[284] idea,whether [284] whether,banned [284] banned,science [284] science,particular [284] particular,strain [284] strain,cv [284] cv,seems [284] seems,pretty [284] pretty,well [284] well,settled Top Word Pairs in Tweet in G6:
[238] sars,cov [217] against,sars [216] cov,2005 [215] effective,against [214] nih,confirmed [214] confirmed,hydroxychloroquine [214] hydroxychloroquine,effective [205] mitchellvii,nih [204] psychictimo,mitchellvii [7] patrici15767099,nih Top Word Pairs in Tweet in G7:
[17] sars,cov [8] lung,cells [4] hydroxychloroquine,chloroquine [4] chloroquine,reduce [4] reduce,sars [4] cov,infectivity [4] infectivity,kidney [4] kidney,cells [4] cells,sparked [4] sparked,hope Top Word Pairs in Tweet in G8:
[72] sars,cov [26] effective,sars [23] fauci,knew [22] chloroquine,effective [21] 2005,chloroquine [17] sokrates_17,cbs_herridge [17] cbs_herridge,lisamei62 [17] lisamei62,senronjohnson [17] senronjohnson,chuckgrassley [17] dr,fauci Top Word Pairs in Tweet in G9:
[39] sars,cov [5] covid,19 [5] anti,viral [5] odd,billgates [5] billgates,fauci [5] fauci,stated [5] stated,back [5] back,2005 [5] 2005,hcq [5] hcq,functions Top Word Pairs in Tweet in G10:
[7] sars,cov [2] paprikalady,tqmka [2] tqmka,bananenrijperij [2] bananenrijperij,truepat89736316 [2] truepat89736316,oscarswild1 [2] oscarswild1,bridgetholmstro [2] bridgetholmstro,b_bolshevik100 [2] b_bolshevik100,jaisans [2] jaisans,jamesrider3 [2] jamesrider3,htservadac Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: