The graph represents a network of 5,909 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, 25 September 2020 at 09:02 UTC.
The requested start date was Friday, 25 September 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, 22-hour, 56-minute period from Friday, 11 September 2020 at 00:18 UTC to Thursday, 24 September 2020 at 23:14 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 : 5909
Unique Edges : 2822
Edges With Duplicates : 8119
Total Edges : 10941
Number of Edge Types : 5
Retweet : 3521
MentionsInRetweet : 4017
Tweet : 503
Replies to : 816
Mentions : 2084
Self-Loops : 541
Reciprocated Vertex Pair Ratio : 0.013600928843921
Reciprocated Edge Ratio : 0.0268368515791196
Connected Components : 765
Single-Vertex Connected Components : 248
Maximum Vertices in a Connected Component : 1492
Maximum Edges in a Connected Component : 3175
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 5.056099
Graph Density : 0.00017504826359341
Modularity : 0.547935
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,909 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, 25 September 2020 at 09:02 UTC.
The requested start date was Friday, 25 September 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, 22-hour, 56-minute period from Friday, 11 September 2020 at 00:18 UTC to Thursday, 24 September 2020 at 23:14 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:
[5021] sars,cov [924] peço,licença [924] licença,respeitosamente [924] respeitosamente,discordar [924] discordar,não [924] não,acho [924] acho,possível [924] possível,comparar [924] comparar,sars [924] cov,os Top Word Pairs in Tweet in G1:
[1043] sars,cov [896] peço,licença [896] licença,respeitosamente [896] respeitosamente,discordar [896] discordar,não [896] não,acho [896] acho,possível [896] possível,comparar [896] comparar,sars [896] cov,os Top Word Pairs in Tweet in G2:
[627] sars,cov [585] epidemia,sars [585] cov,em [585] em,2002 [585] 2002,2004 [585] 2004,mostrou [585] mostrou,fechar [585] fechar,escolas [585] escolas,não [585] não,diminuía Top Word Pairs in Tweet in G3:
[373] sars,cov [43] covid,19 [39] mers,cov [35] cov,sars [22] cov,mers [19] respiratory,syndrome [17] acute,respiratory [16] severe,acute [16] cov,infection [13] virus,sars Top Word Pairs in Tweet in G4:
[237] sars,cov [234] dado,usted [234] usted,positivo [234] positivo,coronavirus [234] coronavirus,cual [234] cual,hcov [234] hcov,229e [234] 229e,hcov [234] hcov,oc43 [234] oc43,hcov Top Word Pairs in Tweet in G5:
[473] sars,cov [244] positivo,coronavirus [244] hcov,229e [244] 229e,hcov [244] hcov,oc43 [244] oc43,hcov [244] hcov,nl63 [244] nl63,hcov [244] hcov,hku1 [244] hku1,sars Top Word Pairs in Tweet in G6:
[135] sars,cov [116] mode,info [116] info,spécial [116] spécial,dédicace [116] dédicace,ceux [116] ceux,pensent [116] pensent,sars [116] cov,propage [116] propage,par [116] par,mains Top Word Pairs in Tweet in G7:
[149] sars,cov [116] gain,function [114] bat,virus [112] function,research [111] fauci,funded [111] funded,gain [111] research,university [111] university,north [111] north,carolina [111] carolina,chapel Top Word Pairs in Tweet in G8:
[66] sars,cov [17] covid,19 [11] mers,cov [11] cov,2002 [11] potus,right [11] right,#kag [11] #kag,chloroquine [11] chloroquine,known [11] known,2005 [11] 2005,combat Top Word Pairs in Tweet in G9:
[148] sars,cov [13] cov,spike [12] cleavage,site [12] ale_battini,seven7ins [12] seven7ins,lynnfynn3 [12] lynnfynn3,travellightp1 [12] travellightp1,chartreader2 [12] chartreader2,covidmillion [11] furin,cleavage [9] human,ace2 Top Word Pairs in Tweet in G10:
[95] medida,conociendo [94] gente,critica [94] critica,científicos [94] científicos,ir [94] ir,cambiando [94] cambiando,posiciones [94] posiciones,medida [94] conociendo,acerca [94] acerca,algún [93] nataliavartan,gente Top Replied-To in Entire Graph:
Top Replied-To in G4:
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: