The graph represents a network of 4,650 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, 23 September 2020 at 08:56 UTC.
The requested start date was Wednesday, 23 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, 23-hour, 47-minute period from Wednesday, 09 September 2020 at 00:05 UTC to Tuesday, 22 September 2020 at 23:52 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 : 4650
Unique Edges : 2814
Edges With Duplicates : 5277
Total Edges : 8091
Number of Edge Types : 5
Tweet : 513
Retweet : 2136
MentionsInRetweet : 2615
Replies to : 821
Mentions : 2006
Self-Loops : 550
Reciprocated Vertex Pair Ratio : 0.016673792218897
Reciprocated Edge Ratio : 0.0328006728343146
Connected Components : 783
Single-Vertex Connected Components : 250
Maximum Vertices in a Connected Component : 923
Maximum Edges in a Connected Component : 2586
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.81164
Graph Density : 0.000220003376839047
Modularity : 0.587625
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,650 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, 23 September 2020 at 08:56 UTC.
The requested start date was Wednesday, 23 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, 23-hour, 47-minute period from Wednesday, 09 September 2020 at 00:05 UTC to Tuesday, 22 September 2020 at 23:52 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:
[3748] sars,cov [608] 2002,2004 [583] epidemia,sars [583] em,2002 [582] cov,em [582] 2004,mostrou [582] mostrou,fechar [582] fechar,escolas [582] escolas,não [582] não,diminuía Top Word Pairs in Tweet in G1:
[581] epidemia,sars [581] sars,cov [581] cov,em [581] em,2002 [581] 2002,2004 [581] 2004,mostrou [581] mostrou,fechar [581] fechar,escolas [581] escolas,não [581] não,diminuía Top Word Pairs in Tweet in G2:
[394] sars,cov [51] covid,19 [44] mers,cov [43] cov,sars [21] cov,mers [20] respiratory,syndrome [18] acute,respiratory [17] severe,acute [16] cov,infection [15] coronavirus,sars Top Word Pairs in Tweet in G3:
[452] sars,cov [226] positivo,coronavirus [226] hcov,229e [226] 229e,hcov [226] hcov,oc43 [226] oc43,hcov [226] hcov,nl63 [226] nl63,hcov [226] hcov,hku1 [226] hku1,sars Top Word Pairs in Tweet in G4:
[134] sars,cov [115] mode,info [115] info,spécial [115] spécial,dédicace [115] dédicace,ceux [115] ceux,pensent [115] pensent,sars [115] cov,propage [115] propage,par [115] par,mains Top Word Pairs in Tweet in G5:
[138] sars,cov [115] gain,function [111] fauci,funded [111] funded,gain [111] function,research [111] research,university [111] university,north [111] north,carolina [111] carolina,chapel [111] chapel,hill Top Word Pairs in Tweet in G6:
[147] 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] flavinkins,ale_battini Top Word Pairs in Tweet in G7:
[62] sars,cov [15] covid,19 [10] mers,cov [9] years,ago [8] cov,sars [8] dr,fauci [7] censorship,typically [7] typically,preceded [7] preceded,disinformation [7] disinformation,campaign Top Word Pairs in Tweet in G8:
[92] sars,cov [63] cov,19 [63] niet,meer [62] staatscourant,gisteren [62] gisteren,bekendmaking [62] bekendmaking,covid [62] covid,19 [62] 19,sars [62] 19,staat [62] staat,niet Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[48] nitric,oxide [40] human,coronaviruses [39] vaccine,protect [39] protect,against [39] against,human [39] coronaviruses,specific [39] specific,treatments [39] treatments,illnesses [39] illnesses,caused [38] presscoreca,vaccine Top Replied-To in Entire Graph:
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 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: