The graph represents a network of 10,456 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 April 2021 at 07:21 UTC.
The requested start date was Saturday, 10 April 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 2-day, 0-hour, 1-minute period from Wednesday, 07 April 2021 at 13:27 UTC to Friday, 09 April 2021 at 13:28 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 : 10456
Unique Edges : 6770
Edges With Duplicates : 13354
Total Edges : 20124
Number of Edge Types : 5
Retweet : 5864
MentionsInRetweet : 7523
Tweet : 3268
Mentions : 3101
Replies to : 368
Self-Loops : 3323
Reciprocated Vertex Pair Ratio : 0.00505350772889417
Reciprocated Edge Ratio : 0.0100561963916001
Connected Components : 3064
Single-Vertex Connected Components : 933
Maximum Vertices in a Connected Component : 1355
Maximum Edges in a Connected Component : 5453
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.701899
Graph Density : 9.27847952587272E-05
Modularity : 0.547403
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,456 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 April 2021 at 07:21 UTC.
The requested start date was Saturday, 10 April 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 2-day, 0-hour, 1-minute period from Wednesday, 07 April 2021 at 13:27 UTC to Friday, 09 April 2021 at 13:28 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 : COVID-19
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:
[7164] covid,19 [762] contra,covid [466] 19,vaccine [376] medidas,bioseguridad [268] pandemia,covid [257] cumplir,medidas [226] ค,ะ [217] bioseguridad,garantía [206] garantía,vida [205] día,#bioseguridadporlavida Top Word Pairs in Tweet in G1:
[789] covid,19 [65] contra,covid [45] 19,vaccine [24] researching,environment [24] environment,covid [21] 19,nasa [21] 19,vaccines [20] 19,cases [17] #covid,19 [15] 19,pandemic Top Word Pairs in Tweet in G2:
[1157] covid,19 [349] medidas,bioseguridad [247] contra,covid [245] cumplir,medidas [208] bioseguridad,garantía [197] garantía,vida [196] día,#bioseguridadporlavida [195] pandemia,covid [182] etiqueta,día [181] #bioseguridadporlavida,cumplir Top Word Pairs in Tweet in G3:
[119] covid,19 [35] 19,cases [23] light,recent [23] recent,upsurge [23] upsurge,covid [23] cases,holding [23] holding,consultations [23] consultations,student [23] student,representatives [23] representatives,elected Top Word Pairs in Tweet in G4:
[128] covid,19 [38] contra,covid [37] ao,centro [37] atendimento,covid [30] força,tarefa [28] jairbolsonaro,a1 [26] 19,em [24] forças,armadas [24] a1,secretaria [24] secretaria,executiva Top Word Pairs in Tweet in G5:
[220] ค,ะ [110] สว,สด [110] สด,ค [110] ะ,เพ [110] เพ,อนเราพ [110] อนเราพ,งได [110] งได,ร [110] ร,บผลตรวจว [110] บผลตรวจว,าพบเช [110] าพบเช,อ Top Word Pairs in Tweet in G6:
[66] covid,19 [26] please,schedule [26] schedule,mammograms [26] mammograms,right [26] right,before [26] before,#covidvaccine [26] #covidvaccine,weeks [26] weeks,possible [26] possible,temporary [26] temporary,side Top Word Pairs in Tweet in G7:
[105] covid,19 [45] contra,covid [42] vacunación,contra [38] régimen,maduro [38] maduro,manda [38] manda,pnb [38] pnb,suspender [38] suspender,vacunación [38] 19,personal [38] personal,sanitario Top Word Pairs in Tweet in G8:
[32] covid,19 [18] vacuna,contra [16] espero,hayan [16] hayan,tomado [16] tomado,bonitas [16] bonitas,fotos [16] fotos,playa [16] playa,guarden [16] guarden,última [16] última,foto Top Word Pairs in Tweet in G9:
[16] covid,19 [7] casos,confirmados [5] naciones,garantizar [5] garantizar,equidad [5] equidad,salud [5] #cuba,#actualidad [5] #actualidad,#covid_19 [5] média,novos [5] novos,casos [5] casos,últimos Top Word Pairs in Tweet in G10:
[15] covid,19 [10] variantes,brasileñas [10] brasileñas,covid [10] 19,peligrosas [10] peligrosas,protege [10] protege,familia [7] familia,#bioseguridadporlavida [6] cumplir,medidas [5] medidas,bioseguridad [4] primera,día 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 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: