The graph represents a network of 5,993 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 Tuesday, 27 July 2021 at 10:13 UTC.
The requested start date was Tuesday, 27 July 2021 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, 12-hour, 12-minute period from Tuesday, 13 July 2021 at 00:11 UTC to Monday, 26 July 2021 at 12:23 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 : 5993
Unique Edges : 2816
Edges With Duplicates : 7395
Total Edges : 10211
Number of Edge Types : 5
Retweet : 3150
MentionsInRetweet : 3516
Tweet : 510
Replies to : 887
Mentions : 2148
Self-Loops : 546
Reciprocated Vertex Pair Ratio : 0.00814134765286679
Reciprocated Edge Ratio : 0.0161512027491409
Connected Components : 875
Single-Vertex Connected Components : 226
Maximum Vertices in a Connected Component : 2573
Maximum Edges in a Connected Component : 5753
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.512913
Graph Density : 0.000162071593539147
Modularity : 0.56645
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,993 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 Tuesday, 27 July 2021 at 10:13 UTC.
The requested start date was Tuesday, 27 July 2021 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, 12-hour, 12-minute period from Tuesday, 13 July 2021 at 00:11 UTC to Monday, 26 July 2021 at 12:23 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:
[3816] sars,cov [681] cov,partir [675] apprend,ceci [675] ceci,sars [675] partir,duquel [675] duquel,covid [675] covid,aurait [675] aurait,été [675] été,fabriqué [675] fabriqué,avant Top Word Pairs in Tweet in G1:
[660] ccp,top [660] top,military [660] military,civil [660] civil,virologist [660] virologist,shi [660] shi,bo [660] bo,jiang [660] jiang,姜世勃 [660] 姜世勃,infiltrated [660] infiltrated,decades Top Word Pairs in Tweet in G2:
[685] sars,cov [661] dr,four [661] four,tillan [661] tillan,apprend [661] apprend,ceci [661] ceci,sars [661] cov,partir [661] partir,duquel [661] duquel,covid [661] covid,aurait Top Word Pairs in Tweet in G3:
[451] sars,cov [447] contra,sars [444] publicado,2012 [444] 2012,vacunas [444] vacunas,indujeron [444] indujeron,anticuerpos [444] anticuerpos,contra [444] cov,exposición [444] exposición,animales [444] animales,vacunados Top Word Pairs in Tweet in G4:
[374] sars,cov [25] covid,19 [23] cov,sars [21] mers,cov [16] cov,infection [12] αναλυτικοί,πίνακες [11] spike,protein [11] cov,virus [11] cov,mers [11] virus,sars Top Word Pairs in Tweet in G5:
[42] sars,cov [11] covid,19 [8] runningrabbit_1,groin_hammer [8] groin_hammer,marcus66508078 [8] landminelenny,just4thecause [8] just4thecause,genetherapy68 [8] genetherapy68,hauxton [7] frankdelia7,1_tmf_ [7] paulvcooper1,tawdge [6] wendyorent,provaxtexan Top Word Pairs in Tweet in G6:
[111] nooit,pandemie [111] pandemie,geweest [111] geweest,alles [111] alles,gefaked [111] gefaked,normale [111] normale,griep [111] griep,niet [111] niet,verdwenen [111] verdwenen,omgekat [111] omgekat,naar Top Word Pairs in Tweet in G7:
[130] influenza,subtipo [130] origem,hong [130] hong,kong [130] kong,china [129] 1968,1970 [129] 1970,pandemia [129] pandemia,influenza [129] subtipo,h3n2 [129] h3n2,origem [129] china,1997 Top Word Pairs in Tweet in G8:
[103] sars,cov [13] rand,paul [10] cov,spike [7] cov,sars [7] famous,plos [7] plos,pathogens [7] pathogens,paper [7] paper,one [7] one,fauci [7] fauci,rand Top Word Pairs in Tweet in G9:
[5] sars,cov [2] #gbnews23,breaking [2] breaking,posters [2] posters,rishisunak [2] rishisunak,sold [2] sold,hotcakes [2] hotcakes,#eac23 [2] #eac23,ebola [2] ebola,advancement [2] advancement,convetion Top Word Pairs in Tweet in G10:
[33] toujours,selon [33] selon,lui [33] lui,virus [33] virus,évoluerait [33] évoluerait,progressivement [33] progressivement,vers [33] vers,simple [33] simple,rhume [33] rhume,similaire [33] similaire,aux Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: