The graph represents a network of 10,313 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 Sunday, 26 September 2021 at 07:26 UTC.
The requested start date was Sunday, 26 September 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, 4-minute period from Wednesday, 22 September 2021 at 12:13 UTC to Friday, 24 September 2021 at 12:17 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 : 10313
Unique Edges : 5476
Edges With Duplicates : 11901
Total Edges : 17377
Number of Edge Types : 5
Retweet : 5294
MentionsInRetweet : 6104
Mentions : 1952
Tweet : 3620
Replies to : 407
Self-Loops : 3659
Reciprocated Vertex Pair Ratio : 0.0065081351689612
Reciprocated Edge Ratio : 0.0129321064411838
Connected Components : 3224
Single-Vertex Connected Components : 1179
Maximum Vertices in a Connected Component : 1469
Maximum Edges in a Connected Component : 3136
Maximum Geodesic Distance (Diameter) : 36
Average Geodesic Distance : 13.492063
Graph Density : 7.56199083504013E-05
Modularity : 0.540809
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,313 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 Sunday, 26 September 2021 at 07:26 UTC.
The requested start date was Sunday, 26 September 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, 4-minute period from Wednesday, 22 September 2021 at 12:13 UTC to Friday, 24 September 2021 at 12:17 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:
[6883] covid,19 [393] contra,covid [379] 19,vaccine [237] against,covid [178] 19,pandemic [175] 19,vaccines [129] 19,vaccination [123] 19,cases [123] eduardo,bolsonaro [118] positivo,covid Top Word Pairs in Tweet in G1:
[1091] covid,19 [79] 19,vaccine [66] contra,covid [31] 19,pandemic [29] 19,cases [23] 19,vaccination [22] against,covid [22] 19,vaccines [20] casos,covid [17] 19,aşısı Top Word Pairs in Tweet in G2:
[260] covid,19 [54] september,2021 [53] kes,covid [34] fokus,penyampaian [34] penyampaian,maklumat [34] maklumat,peralihan [33] peralihan,lembah [33] lembah,klang [33] klang,ke [33] ke,fasa Top Word Pairs in Tweet in G3:
[63] covid,19 [16] 19,summit [14] global,covid [13] pm,narendramodi [11] against,covid [9] fight,against [8] remarks,global [8] #covid,19 [7] narendramodi,ji [7] 83,crore Top Word Pairs in Tweet in G4:
[58] covid,19 [25] contra,covid [24] todas,dosis [19] cuenta,todas [19] población,contra [17] dosis,vacunar [17] vacunar,población [15] cuba,cuenta [9] presidente,biocubafarma [9] dosis,vacunas Top Word Pairs in Tweet in G5:
[77] covid,19 [37] contra,covid [23] #covid_19,estadísticas [23] estadísticas,generales [23] generales,coronavirus [23] coronavirus,#venezuela [23] #venezuela,total [23] total,contagios [19] libertad003,#covid_19 [19] pacientes,recuper Top Word Pairs in Tweet in G6:
[143] covid,19 [41] anthony,wong [41] wong,morreu [41] morreu,covid [35] médico,negacionista [35] negacionista,anthony [35] 19,mas [35] mas,isso [35] isso,foi [35] foi,escondido Top Word Pairs in Tweet in G7:
[130] covid,19 [36] pandemia,covid [34] 19,cambió [34] cambió,conceptos [34] conceptos,creíamos [34] creíamos,gotas [34] gotas,respiratorias [34] respiratorias,micras [34] micras,podían [34] podían,flotar Top Word Pairs in Tweet in G8:
[64] covid,19 [36] against,covid [34] vaccinating,children [34] children,against [34] 19,peer [34] peer,reviewed [34] reviewed,published [34] published,credible [34] credible,journal [34] journal,impact Top Word Pairs in Tweet in G9:
[96] covid,19 [75] eduardo,bolsonaro [75] bolsonaro,covid [74] mais,eduardo [73] bcpolitica,mais [15] prevent,senior [8] neto,diz [8] diz,avô [8] avô,vítima [8] vítima,covid Top Word Pairs in Tweet in G10:
[82] covid,19 [14] pfizer,covid [14] 19,vaccines [12] 19,vaccine [12] clear,way [12] way,defeat [12] defeat,covid [12] 19,protect [12] protect,american [12] american,people Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: