The graph represents a network of 9,996 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 Thursday, 08 April 2021 at 07:23 UTC.
The requested start date was Tuesday, 06 April 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 3-day, 0-hour, 2-minute period from Friday, 02 April 2021 at 13:26 UTC to Monday, 05 April 2021 at 13:28 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 : 9996
Unique Edges : 5904
Edges With Duplicates : 13602
Total Edges : 19506
Number of Edge Types : 5
Retweet : 5981
MentionsInRetweet : 7201
Tweet : 3311
Mentions : 2641
Replies to : 372
Self-Loops : 3374
Reciprocated Vertex Pair Ratio : 0.00498266897746967
Reciprocated Edge Ratio : 0.0099159301573615
Connected Components : 2857
Single-Vertex Connected Components : 811
Maximum Vertices in a Connected Component : 1249
Maximum Edges in a Connected Component : 4860
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.910589
Graph Density : 9.28635586300553E-05
Modularity : 0.527439
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 9,996 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 Thursday, 08 April 2021 at 07:23 UTC.
The requested start date was Tuesday, 06 April 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 3-day, 0-hour, 2-minute period from Friday, 02 April 2021 at 13:26 UTC to Monday, 05 April 2021 at 13:28 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:
[7582] covid,19 [802] contra,covid [305] 19,vaccine [278] variantes,brasileñas [274] brasileñas,covid [265] 19,siguen [241] siguen,haciendo [237] día,#radicalescontralacovid19 [237] etiqueta,día [234] #radicalescontralacovid19,variantes Top Word Pairs in Tweet in G1:
[720] covid,19 [45] 19,vaccine [35] contra,covid [27] 19,cases [18] 19,pandemic [15] casos,covid [14] 19,vaccination [13] positivo,covid [13] últimas,24 [13] 24,horas Top Word Pairs in Tweet in G2:
[1324] covid,19 [230] variantes,brasileñas [228] brasileñas,covid [226] contra,covid [219] 19,siguen [195] día,#radicalescontralacovid19 [195] siguen,haciendo [192] #radicalescontralacovid19,variantes [185] etiqueta,día [166] #5abr,etiqueta Top Word Pairs in Tweet in G3:
[174] covid,19 [75] five,fold [74] 19,vaccination [72] reviewed,covid [72] vaccination,related [72] related,situation [72] situation,country [72] country,reiterated [72] reiterated,importance [72] importance,five Top Word Pairs in Tweet in G4:
[134] covid,19 [91] siente,sospechas [91] sospechas,contagio [91] contagio,covid [91] 19,llame [91] llame,urgente [91] urgente,0212 [91] 0212,3135660 [90] joserioslugo,siente [69] 3135660,telemedicina Top Word Pairs in Tweet in G5:
[112] covid,19 [68] contra,covid [66] vacinação,contra [37] 19,segue [37] segue,batendo [37] batendo,recordes [37] recordes,brasil [37] brasil,objetivo [37] objetivo,diário [37] diário,milhão Top Word Pairs in Tweet in G6:
[105] covid,19 [73] contra,covid [34] vacuna,contra [26] adulto,mayor [19] enfermera,creer [19] creer,adulto [19] mayor,vacunaron [19] vacunaron,contra [19] 19,hizo [14] terrible,explico Top Word Pairs in Tweet in G7:
[124] covid,19 [34] 19,morgue [31] muertos,covid [30] contra,covid [27] mortandad,venezuela [27] venezuela,revelan [27] revelan,dramáticas [27] dramáticas,imágenes [27] imágenes,traslado [27] traslado,muertos Top Word Pairs in Tweet in G8:
[42] covid,19 [7] 19,vaccine [6] task,force [6] global,news [6] vaccination,rollout [5] ontario,covid [4] million,canadians [4] canadians,tested [4] tested,positive [4] positive,covid Top Word Pairs in Tweet in G9:
[18] covid,19 [17] #p1,variant [8] breaking,top [8] top,state [8] state,number [8] number,aggressive [8] aggressive,#p1 [8] variant,massachusetts [8] massachusetts,54 [8] 54,massgovernor Top Word Pairs in Tweet in G10:
[81] covid,19 [20] 19,#agpcombatingcovid19_sputnikv [14] governmentrf,mfa_russia [12] #agpcombatingcovid19_sputnikv,governmentrf [11] mfa_russia,uaegov [9] against,covid [9] mohapuae,nhsrcofficial [9] nhsrcofficial,agp_limited [9] govtofpakistan,dra_pakistan [8] highly,effective Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G8:
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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 G8:
Top Tweeters in G9:
Top Tweeters in G10: