The graph represents a network of 9,448 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 Monday, 23 May 2022 at 07:21 UTC.
The requested start date was Monday, 23 May 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 3-day, 0-hour, 11-minute period from Thursday, 19 May 2022 at 12:05 UTC to Sunday, 22 May 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 : 9448
Unique Edges : 5261
Edges With Duplicates : 11431
Total Edges : 16692
Number of Edge Types : 5
Retweet : 5087
MentionsInRetweet : 5998
Tweet : 3110
Replies to : 478
Mentions : 2019
Self-Loops : 3191
Reciprocated Vertex Pair Ratio : 0.00463891675025075
Reciprocated Edge Ratio : 0.00923499313615375
Connected Components : 2727
Single-Vertex Connected Components : 1169
Maximum Vertices in a Connected Component : 654
Maximum Edges in a Connected Component : 1530
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 7.899027
Graph Density : 8.97762256152176E-05
Modularity : 0.547386
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,448 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 Monday, 23 May 2022 at 07:21 UTC.
The requested start date was Monday, 23 May 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 3-day, 0-hour, 11-minute period from Thursday, 19 May 2022 at 12:05 UTC to Sunday, 22 May 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:
[6154] covid,19 [287] contra,covid [253] positive,covid [246] medidas,bioseguridad [223] 19,pandemic [182] 19,vaccine [172] cumplir,medidas [171] 19,cuba [169] virus,covid [163] semanas,consecutivas Top Word Pairs in Tweet in G1:
[1189] covid,19 [81] pandemi,covid [66] virus,covid [64] medidas,bioseguridad [63] #cz43capital,haciendo [63] haciendo,cumplir [63] cumplir,medidas [63] bioseguridad,evitar [63] evitar,propagación [63] propagación,virus Top Word Pairs in Tweet in G2:
[131] d'effets,indésirables [131] vaccination,obligatoire [130] citant,plus [130] plus,10 [130] 10,000 [130] 000,décès [130] décès,000 [130] 000,000 [130] 000,d'effets [130] indésirables,tribunal Top Word Pairs in Tweet in G3:
[224] covid,19 [162] 19,cuba [154] siete,semanas [153] disminuyen,casos [153] casos,siete [153] semanas,consecutivas [145] cuba,disminuyen [126] consecutivas,#vamoscontodo [125] diazcanelb,covid [54] contra,covid Top Word Pairs in Tweet in G4:
[352] covid,19 [146] medidas,bioseguridad [103] nuevos,casos [101] cumplir,medidas [98] #cz43capital,haciendo [98] haciendo,cumplir [98] bioseguridad,evitar [98] evitar,propagación [98] propagación,virus [98] virus,covid Top Word Pairs in Tweet in G5:
[139] covid,19 [66] 19,sebebi [66] sebebi,ile [66] ile,izinli [66] izinli,olan [66] olan,izin [66] izin,sürecinde [66] sürecinde,suça [66] suça,karışmayan [66] karışmayan,yuva Top Word Pairs in Tweet in G6:
[156] covid,19 [125] positive,covid [78] #twice's,#nayeon [78] test,positive [65] #nayeon,#tzuyu [65] #tzuyu,#momo [64] #momo,test [63] allkpop,#twice's [54] momo,tzuyu [46] nayeon,momo Top Word Pairs in Tweet in G7:
[70] covid,19 [18] cdcgov,recommended [18] recommended,booster [18] booster,11 [18] 11,based [18] based,study [18] study,78 [18] 78,children [18] children,go [18] go,thru Top Word Pairs in Tweet in G8:
[3] chris_f_carson,joecoyle101 [3] joecoyle101,nodictatorship9 [3] nodictatorship9,laughlandmorgan [3] laughlandmorgan,sharky_vs_evil [3] sharky_vs_evil,tierrahenson [3] tierrahenson,shared_facts [3] shared_facts,david_haddaway [2] andrewlazarus4,aspalaasnasntyr [2] provaxtexan,skepticalmutant [2] skepticalmutant,doom37455413 Top Word Pairs in Tweet in G9:
[68] covid,19 [29] testing,twitter [29] twitter,triple [29] triple,vaxxed [29] vaxxed,die [29] die,covid [28] drloupis,testing [23] against,covid [21] hundreds,thousands [21] thousands,protested Top Word Pairs in Tweet in G10:
[66] covid,19 [17] north,korea [14] health,officials [12] 19,cases [12] cases,increasing [12] worse,over [12] over,coming [12] coming,months [12] months,federal [12] federal,health 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: