The graph represents a network of 4,252 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 Monday, 21 September 2020 at 08:58 UTC.
The requested start date was Monday, 21 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, 34-minute period from Monday, 07 September 2020 at 00:14 UTC to Sunday, 20 September 2020 at 22:48 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 : 4252
Unique Edges : 2906
Edges With Duplicates : 4303
Total Edges : 7209
Number of Edge Types : 5
Retweet : 1691
MentionsInRetweet : 2205
Mentions : 1958
Replies to : 823
Tweet : 532
Self-Loops : 579
Reciprocated Vertex Pair Ratio : 0.0192754296330701
Reciprocated Edge Ratio : 0.0378218272955115
Connected Components : 807
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 909
Maximum Edges in a Connected Component : 2312
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.979752
Graph Density : 0.000242818191414427
Modularity : 0.613397
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,252 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 Monday, 21 September 2020 at 08:58 UTC.
The requested start date was Monday, 21 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, 34-minute period from Monday, 07 September 2020 at 00:14 UTC to Sunday, 20 September 2020 at 22:48 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:
[3231] sars,cov [417] cov,sars [342] mers,cov [332] covid,19 [330] 2002,2004 [322] em,2002 [321] epidemia,sars [320] cov,em [320] 2004,mostrou [320] mostrou,fechar Top Word Pairs in Tweet in G1:
[319] epidemia,sars [319] sars,cov [319] cov,em [319] em,2002 [319] 2002,2004 [319] 2004,mostrou [319] mostrou,fechar [319] fechar,escolas [319] escolas,não [319] não,diminuía Top Word Pairs in Tweet in G2:
[395] sars,cov [43] cov,sars [42] covid,19 [35] mers,cov [18] respiratory,syndrome [17] acute,respiratory [17] cov,mers [16] cov,virus [16] severe,acute [15] coronavirus,sars Top Word Pairs in Tweet in G3:
[300] sars,cov [150] positivo,coronavirus [150] hcov,229e [150] 229e,hcov [150] hcov,oc43 [150] oc43,hcov [150] hcov,nl63 [150] nl63,hcov [150] hcov,hku1 [150] hku1,sars Top Word Pairs in Tweet in G4:
[135] sars,cov [114] gain,function [110] fauci,funded [110] funded,gain [110] function,research [110] research,university [110] university,north [110] north,carolina [110] carolina,chapel [110] chapel,hill Top Word Pairs in Tweet in G5:
[97] sars,cov [65] 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 G6:
[58] sars,cov [14] covid,19 [9] mers,cov [7] cov,sars [6] cov,2002 [5] human,coronavirus [5] 2002,2004 [5] 2004,covid [5] 19,china [5] 2019,ncov Top Word Pairs in Tweet in G7:
[132] sars,cov [14] cleavage,site [12] ale_battini,seven7ins [12] seven7ins,lynnfynn3 [12] lynnfynn3,travellightp1 [12] travellightp1,chartreader2 [12] chartreader2,covidmillion [11] furin,cleavage [9] cov,spike [9] mouse,adapted Top Word Pairs in Tweet in G8:
[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 G9:
[54] nitric,oxide [36] human,coronaviruses [35] vaccine,protect [35] protect,against [35] against,human [35] coronaviruses,specific [35] specific,treatments [35] treatments,illnesses [35] illnesses,caused [34] presscoreca,vaccine Top Word Pairs in Tweet in G10:
[71] sars,cov [22] cov,sars [21] many,bat [21] bat,species [21] species,potential [21] potential,hosts [21] hosts,sars [21] cov,evidence [21] evidence,ace2 [21] ace2,receptor 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 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: