The graph represents a network of 8,847 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 October 2021 at 09:13 UTC.
The requested start date was Saturday, 30 October 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, 22-minute period from Wednesday, 27 October 2021 at 12:03 UTC to Friday, 29 October 2021 at 12:25 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 : 8847
Unique Edges : 4016
Edges With Duplicates : 11351
Total Edges : 15367
Number of Edge Types : 5
Retweet : 5023
MentionsInRetweet : 5480
Tweet : 3057
Replies to : 448
Mentions : 1359
Self-Loops : 3112
Reciprocated Vertex Pair Ratio : 0.00425282299457398
Reciprocated Edge Ratio : 0.0084696261682243
Connected Components : 2563
Single-Vertex Connected Components : 1122
Maximum Vertices in a Connected Component : 1021
Maximum Edges in a Connected Component : 2259
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.945898
Graph Density : 8.7502566107307E-05
Modularity : 0.516083
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,847 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 October 2021 at 09:13 UTC.
The requested start date was Saturday, 30 October 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, 22-minute period from Wednesday, 27 October 2021 at 12:03 UTC to Friday, 29 October 2021 at 12:25 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 : Coronavirus
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:
[863] covid,19 [214] urgente,coronavirus [202] alertanews24,urgente [173] coronavirus,vaccine [172] coronavirus,pandemic [161] contra,coronavirus [140] #covid19,#coronavirus [131] fyi,millions [131] millions,americans [131] americans,lose Top Word Pairs in Tweet in G1:
[161] covid,19 [42] #covid19,#coronavirus [35] contra,coronavirus [23] coronavirus,pandemic [21] #coronavirus,#covid19 [17] casos,coronavirus [16] coronavirus,cases [15] 19,vaccine [15] vacunas,contra [15] 10,29 Top Word Pairs in Tweet in G2:
[207] urgente,coronavirus [196] alertanews24,urgente [111] inicio,pandemia [98] coronavirus,ascienden [92] muertos,mundo [70] ascienden,millones [70] millones,muertos [70] mundo,inicio [59] alertanews24,coronavirus [56] dosis,refuerzo Top Word Pairs in Tweet in G3:
[89] impact,brexit [89] brexit,uk [89] uk,economy [89] economy,worse [89] coronavirus,pandemic [47] worse,long [47] long,run [47] run,compared [47] compared,coronavirus [47] pandemic,chairman Top Word Pairs in Tweet in G4:
[130] fyi,millions [130] millions,americans [130] americans,lose [130] lose,livelihoods [130] livelihoods,won [130] won,vaccinated [130] vaccinated,justification [129] jessekellydc,fyi [129] justification,th [3] mcauliffe,received Top Word Pairs in Tweet in G5:
[34] covid,19 [14] covid,pass [14] free,nhs [11] fully,vaccinated [11] nhs,covid [10] nhs,app [10] never,ask [8] wear,mask [8] school,buses [8] delta,plus Top Word Pairs in Tweet in G6:
[113] billion,coronavirus [113] coronavirus,vaccine [113] vaccine,doses [113] doses,administered [113] administered,worldwide [111] spectatorindex,billion [5] uk,opposition [5] opposition,leader [5] leader,keir [5] keir,starmer Top Word Pairs in Tweet in G7:
[30] games,bureaucrat [30] bureaucrat,plays [30] plays,attempting [30] attempting,cover [30] cover,ass [30] ass,career [30] career,life [30] life,work [29] rwmalonemd,games [17] think,pupils Top Word Pairs in Tweet in G8:
[14] coronavirus,pandemic [12] fiscal,watchdog [12] watchdog,brexit [12] brexit,hurt [12] hurt,economy [12] economy,more [12] more,coronavirus [12] lockdown,rules [12] rules,uk [12] uk,cases Top Word Pairs in Tweet in G9:
[64] estadísticas,generales [64] generales,coronavirus [63] total,contagios [49] #covid_19,estadísticas [49] coronavirus,#venezuela [49] #venezuela,total [45] libertad003,#covid_19 [33] pacientes,recuper [31] #prevención,#escuadrónsaludable [31] #escuadrónsaludable,enseña Top Word Pairs in Tweet in G10:
[30] covid,19 [26] méxico,mantiene [26] mantiene,cuarto [26] cuarto,lugar [26] lugar,mundial [25] lopezdoriga,méxico [24] mundial,defunciones [24] defunciones,covid [18] #coronavirus,#latinus [17] #latinus,#informaciónparati Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: