The graph represents a network of 1,849 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, 14 October 2022 at 09:31 UTC.
The requested start date was Friday, 14 October 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, 11-hour, 8-minute period from Friday, 30 September 2022 at 01:11 UTC to Thursday, 13 October 2022 at 12:20 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 : 1849
Unique Edges : 1187
Edges With Duplicates : 1441
Total Edges : 2628
Number of Edge Types : 5
MentionsInRetweet : 683
Replies to : 360
Mentions : 895
Retweet : 559
Tweet : 131
Self-Loops : 145
Reciprocated Vertex Pair Ratio : 0.00455840455840456
Reciprocated Edge Ratio : 0.00907543959160522
Connected Components : 235
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 431
Maximum Edges in a Connected Component : 549
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.595719
Graph Density : 0.000515956911305749
Modularity : 0.64053
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 1,849 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, 14 October 2022 at 09:31 UTC.
The requested start date was Friday, 14 October 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, 11-hour, 8-minute period from Friday, 30 September 2022 at 01:11 UTC to Thursday, 13 October 2022 at 12:20 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:
[791] sars,cov [148] covid,reported [148] dengue,virus [148] symptoms,long [148] long,covid [148] involving,similar [148] chronic,syndromes [148] unexplained,chronic [148] syndromes,involving [148] reported,dengue Top Word Pairs in Tweet in G1:
[135] covid19,sars [135] sars,cov [120] conjointe,d'avocats [120] plainte,conjointe [120] d'avocats,internationaux [120] internationaux,cour [107] crime,contre [101] concernant,produits [101] partir,d'armes [101] biologiques,concernant Top Word Pairs in Tweet in G2:
[144] long,covid [144] syndromes,involving [144] dengue,virus [144] covid,reported [144] symptoms,long [144] similar,symptoms [144] unexplained,chronic [144] involving,similar [144] reported,dengue [144] chronic,syndromes Top Word Pairs in Tweet in G3:
[9] sars,cov [2] original,sars [2] springbok1066,mrdannyteal [2] amoy,gardens [2] shocktraumarn,5shezz4 [2] ourworldindata,govlarryhogan [2] troydee,0800_ksmy_ass [2] mrdannyteal,shocktraumarn [2] arkmedic,astrazeneca [2] spread,vertically Top Word Pairs in Tweet in G4:
[118] 2009,2019 [118] gain,function [118] wiv,2009 [118] provided,wiv [118] research,create [118] function,research [118] utilized,gain [118] 2019,funding [118] usaid,provided [118] funding,utilized Top Word Pairs in Tweet in G5:
[55] sars,cov [49] cov,infection [48] enough,evade [48] infection,better [48] better,sars [48] level,xbb [48] xbb,serologically [48] antibodies,sars [48] evade,neutralizing [48] serologically,distinct Top Word Pairs in Tweet in G6:
[6] sars,cov [2] marina72886813,buchinswantje [2] alexa122021,whyaushh [2] gehã,familie [2] ilona_pilgram,marina72886813 [2] ernoemarianne,sonofklimax [2] sonofklimax,ilona_pilgram [2] keksy19,ernoemarianne [2] buchinswantje,alexa122021 Top Word Pairs in Tweet in G7:
[90] sars,cov [27] ãƒ,ム[9] ãƒ,ªã [8] æ,ç [7] ç,ç [6] nã,ム[6] inhibits,sars [5] mers,cov [5] covã,sars [5] cov,sars Top Word Pairs in Tweet in G8:
[34] sars,cov [28] cov,pandemics [28] 19,originated [28] pandemics,last [28] conclude,sars [28] yrs,covid [28] last,100 [28] 100,yrs [28] covid,19 [28] zoonotic,spillover Top Word Pairs in Tweet in G9:
[22] mejores,médicos [22] porqué,inquisición [22] inquisición,pajarraco [22] somete,mejores [22] pajarraco,azul [22] tienen,porqué [22] médicos,científicos [22] azul,somete [21] antiglobalistah,tienen [21] científicos,plan Top Word Pairs in Tweet in G10:
[10] expense,emails [10] emails,databases [10] databases,lab [10] come,expense [10] keep,catching [10] bats,come [10] lab,notebooks [10] catching,bats [10] means,keep [9] washburnealex,means Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: