The graph represents a network of 10,389 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 Wednesday, 05 January 2022 at 08:27 UTC.
The requested start date was Wednesday, 05 January 2022 at 01:01 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 3-day, 0-hour, 7-minute period from Saturday, 01 January 2022 at 12:10 UTC to Tuesday, 04 January 2022 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 : 10389
Unique Edges : 5584
Edges With Duplicates : 12374
Total Edges : 17958
Number of Edge Types : 5
Tweet : 3549
Retweet : 5439
MentionsInRetweet : 6353
Mentions : 2189
Replies to : 428
Self-Loops : 3622
Reciprocated Vertex Pair Ratio : 0.00407722748530999
Reciprocated Edge Ratio : 0.00812134241012779
Connected Components : 3131
Single-Vertex Connected Components : 1138
Maximum Vertices in a Connected Component : 1340
Maximum Edges in a Connected Component : 3098
Maximum Geodesic Distance (Diameter) : 51
Average Geodesic Distance : 15.097597
Graph Density : 7.75845783096091E-05
Modularity : 0.542313
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,389 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 Wednesday, 05 January 2022 at 08:27 UTC.
The requested start date was Wednesday, 05 January 2022 at 01:01 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 3-day, 0-hour, 7-minute period from Saturday, 01 January 2022 at 12:10 UTC to Tuesday, 04 January 2022 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:
[6307] covid,19 [300] contra,covid [286] 19,cases [217] positive,covid [173] recovery,covid [170] full,recovery [167] rm,jin [157] tested,positive [153] notice,bts [149] charts_k,notice Top Word Pairs in Tweet in G1:
[839] covid,19 [40] contra,covid [31] 19,cases [28] positive,covid [23] casos,covid [22] 19,pandemic [21] 19,vaccine [16] #covid,19 [16] positivo,covid [13] 19,vaccination Top Word Pairs in Tweet in G2:
[264] covid,19 [147] notice,bts [147] full,recovery [147] recovery,covid [145] charts_k,notice [91] rm,jin [75] bts,suga [75] suga,full [72] bts,rm [72] jin,full Top Word Pairs in Tweet in G3:
[99] covid,19 [80] #covid19,#covid_19 [77] #estadodealarma,#toquedequeda [76] #toquedequeda,#covid19 [68] #covid_19,#covidー19 [51] र,ह [37] #covidー19,#confinamiento [37] र,य [37] य,न [36] #coronavirus,#covid Top Word Pairs in Tweet in G4:
[193] covid,19 [113] contra,covid [73] refuerzo,contra [59] vacunación,refuerzo [38] jornada,vacunación [35] lunes,#3ene [33] #3ene,inicia [33] inicia,jornada [33] 19,llegamos [31] pendientes,lunes Top Word Pairs in Tweet in G5:
[120] covid,19 [27] dies,covid [25] gop,state [25] state,assembly [25] assembly,candidate [23] kelly,ernby [22] covid,46 [19] california,woman [19] woman,tried [19] tried,parlay Top Word Pairs in Tweet in G6:
[15] covid,19 [9] interdiction,manger [9] manger,train [9] train,figure [9] figure,décret [9] décret,mais [9] mais,explique [9] explique,qu [9] qu,sera [9] sera,appliquée Top Word Pairs in Tweet in G7:
[69] mise,examen [66] ancienne,ministre [66] ministre,santé [66] santé,agnès [66] agnès,buzyn [66] buzyn,avait [66] avait,démissionné [66] démissionné,février [66] février,2020 [66] 2020,pleine Top Word Pairs in Tweet in G8:
[131] covid,19 [44] แล,ว [41] ได,แล [39] bighit_music,แจ [39] แจ,งความค [39] งความค,บหน [39] บหน,า [39] หายจาก,covid [39] 19,และกล [39] และกล,บไปทำงานตามปกต Top Word Pairs in Tweet in G9:
[77] covid,19 [25] arvindkejriwal,freely [25] freely,distributing [25] distributing,covid [25] 19,virus [25] virus,world [25] world,coughing [25] coughing,open [25] open,without [25] without,mask Top Word Pairs in Tweet in G10:
[101] covid,19 [68] looked,supply [68] supply,covid [68] 19,rapid [68] rapid,tests [64] tests,badly [64] badly,disrupted [64] disrupted,uk [64] uk,tl [64] tl,dr Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: