The graph represents a network of 1,385 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, 18 May 2022 at 09:02 UTC.
The requested start date was Wednesday, 18 May 2022 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, 10-hour, 19-minute period from Wednesday, 04 May 2022 at 00:08 UTC to Tuesday, 17 May 2022 at 10:28 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 : 1385
Unique Edges : 960
Edges With Duplicates : 1266
Total Edges : 2226
Number of Edge Types : 5
Retweet : 462
MentionsInRetweet : 744
Replies to : 278
Mentions : 563
Tweet : 179
Self-Loops : 193
Reciprocated Vertex Pair Ratio : 0.00437956204379562
Reciprocated Edge Ratio : 0.00872093023255814
Connected Components : 299
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 237
Maximum Edges in a Connected Component : 605
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.68226
Graph Density : 0.000717848125039127
Modularity : 0.625529
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,385 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, 18 May 2022 at 09:02 UTC.
The requested start date was Wednesday, 18 May 2022 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, 10-hour, 19-minute period from Wednesday, 04 May 2022 at 00:08 UTC to Tuesday, 17 May 2022 at 10:28 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:
[953] sars,cov [129] ba,12 [110] covid,19 [76] cov,sars [64] 12,belki [64] belki,birileri [64] birileri,yine [64] yine,bi [64] bi,diyecek [64] diyecek,birileri Top Word Pairs in Tweet in G1:
[113] sars,cov [24] cov,sars [14] keithev84928885,jhas5 [14] jhas5,jikkyleaks [14] jikkyleaks,biophysicsfl [14] biophysicsfl,jjcouey [11] cov,chimeric [11] chimeric,viruses [11] viruses,resulting [10] gentle,reminder Top Word Pairs in Tweet in G2:
[132] sars,cov [14] ãƒ,ム[11] cov,sars [9] mers,cov [6] cov,mers [6] covid,19 [6] animales,control [4] renilla,luciferase [4] luciferase,reporter [4] reporter,assess Top Word Pairs in Tweet in G3:
[35] sars,cov [18] county,stopped [18] stopped,weekly [18] weekly,reporting [18] reporting,cases [18] cases,back [18] back,beginning [18] beginning,april [18] april,sure [18] sure,really Top Word Pairs in Tweet in G4:
[128] ba,12 [64] 12,belki [64] belki,birileri [64] birileri,yine [64] yine,bi [64] bi,diyecek [64] diyecek,birileri [64] birileri,kızacak [64] kızacak,bana [64] bana,ama Top Word Pairs in Tweet in G5:
[72] covid,19 [37] sars,cov [36] dossier,très [36] très,complet [36] complet,inserm [36] inserm,covid [36] 19,auquel [36] auquel,avons [36] avons,participé [36] participé,pr Top Word Pairs in Tweet in G6:
[27] sars,cov [15] leer,nuestros [15] nuestros,datos [15] datos,sugieren [15] sugieren,vacunación [14] dr,alarcos [14] alarcos,año [14] año,2004 [14] 2004,estaba [14] estaba,diseñando Top Word Pairs in Tweet in G7:
[26] sars,cov [25] cov,s2 [25] analogous,membrane [24] let's,revisit [24] revisit,topic [24] topic,structural [24] structural,similarity [24] similarity,between [24] between,hiv [24] hiv,gp41 Top Word Pairs in Tweet in G8:
[23] superar,psicosis [23] psicosis,pandémica [23] pandémica,circunscribir [23] circunscribir,toma [23] toma,decisiones [23] decisiones,función [23] función,capacidad [23] capacidad,hospitalaria [22] jnietoguevara,superar [22] hospitalaria,defuncione Top Word Pairs in Tweet in G9:
[2] sars,cov Top Word Pairs in Tweet in G10:
[2] sars,cov Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: