The graph represents a network of 8,046 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 Wednesday, 12 October 2022 at 08:47 UTC.
The requested start date was Wednesday, 12 October 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 2-day, 2-hour, 29-minute period from Sunday, 09 October 2022 at 09:56 UTC to Tuesday, 11 October 2022 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 : 8046
Unique Edges : 4422
Edges With Duplicates : 11327
Total Edges : 15749
Number of Edge Types : 5
Retweet : 5055
MentionsInRetweet : 6071
Tweet : 2212
Mentions : 1690
Replies to : 721
Self-Loops : 2358
Reciprocated Vertex Pair Ratio : 0.00515395797541959
Reciprocated Edge Ratio : 0.0102550617933211
Connected Components : 1863
Single-Vertex Connected Components : 915
Maximum Vertices in a Connected Component : 2145
Maximum Edges in a Connected Component : 5518
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 9.952673
Graph Density : 0.000117503348907239
Modularity : 0.524393
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,046 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 Wednesday, 12 October 2022 at 08:47 UTC.
The requested start date was Wednesday, 12 October 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 2-day, 2-hour, 29-minute period from Sunday, 09 October 2022 at 09:56 UTC to Tuesday, 11 October 2022 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:
[771] covid,19 [378] #covid19,#covid_19 [266] #covid_19,#covidー19 [246] corona,virus [242] threat,people [241] virus,extremely [241] serious,threat [241] people,economy [241] extremely,serious [238] ',corona Top Word Pairs in Tweet in G1:
[154] covid,19 [45] 957,coronavirus [43] coronavirus,cases [42] 24,hours [40] cases,deaths [39] last,24 [35] reports,957 [35] deaths,last [35] india,reports [34] live,updates Top Word Pairs in Tweet in G2:
[201] mise,marché [193] conversion,l'autorisation [190] l'autorisation,mise [181] commission,européenne [136] marché,conditionnelle [117] vient,autoriser [117] autoriser,conversion [117] européenne,vient [116] corinnereverbel,commission [95] parlementaires,ue Top Word Pairs in Tweet in G3:
[210] alberto,reyero [154] tragedia,residencias [152] pablo,iglesias [150] iglesias,tragedia [150] gran,mentira [150] residencias,gran [150] culpar,pablo [144] reyero,culpar [124] elsaltodiario,alberto [106] splazaque,vídeo Top Word Pairs in Tweet in G4:
[229] threat,people [229] people,economy [229] ',corona [229] corona,virus [229] extremely,serious [229] serious,threat [229] virus,extremely [159] bjp4india,' [157] srinivasiyc,bjp4india [68] srinivasiyc,' Top Word Pairs in Tweet in G5:
[301] #covid19,#covid_19 [266] #covid_19,#covidー19 [140] #coronavirus,#covid [104] #covidー19,#coronavirus [94] #mascarilla,#covid19 [94] #estadodealarma,#toquedequeda [91] #vacuna,#vaccine [76] #covid,#vacuna [68] #mascarillas,#covid19 [68] covid,19 Top Word Pairs in Tweet in G6:
[185] mantener,medidas [185] refuerzo,vacuna [185] vacuna,mantener [185] ponerse,refuerzo [185] medidas,bioseguridad [184] siendo,llamado [184] llamado,pdte [184] sigue,siendo [184] bioseguridad,sigue [167] pdte,nicolas Top Word Pairs in Tweet in G7:
[73] die,pandemie [55] klinikpersonal,ignorierbar [55] ignorierbar,die [55] die,patienten [55] pandemie,insbesondere [55] risikopatienten,klinikpersonal [55] insbesondere,risikopatienten [55] patienten,aktuell [54] celik_chn,die [27] #immun,#genesene Top Word Pairs in Tweet in G8:
[168] relación,muertes [168] julio_ariza_tv,florida [168] florida,reconozca [168] muertes,corazón [168] vacunación,coronavirus [168] reconozca,relación [168] corazón,vacunación [167] eltorotv,julio_ariza_tv Top Word Pairs in Tweet in G9:
[165] julian,assange [160] found,inmates [160] covid,chronic [160] positive,covid [160] tested,positive [160] condition,found [160] assange,tested [160] lung,condition [160] chronic,lung [159] declassifieduk,julian Top Word Pairs in Tweet in G10:
[126] two,thirds [94] jim,chalmers [93] before,start [93] chalmers,two [93] borrowed,before [93] debt,budget [93] thirds,debt [93] budget,borrowed [92] start,pandemic [92] pandemic,correct 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 G5:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: