The graph represents a network of 10,531 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 Sunday, 13 June 2021 at 07:22 UTC.
The requested start date was Sunday, 13 June 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, 3-minute period from Wednesday, 09 June 2021 at 12:17 UTC to Friday, 11 June 2021 at 12:20 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 : 10531
Unique Edges : 5543
Edges With Duplicates : 12464
Total Edges : 18007
Number of Edge Types : 5
Retweet : 5564
MentionsInRetweet : 6478
Tweet : 3505
Mentions : 2115
Replies to : 345
Self-Loops : 3547
Reciprocated Vertex Pair Ratio : 0.00548467866936926
Reciprocated Edge Ratio : 0.0109095221154986
Connected Components : 3186
Single-Vertex Connected Components : 1051
Maximum Vertices in a Connected Component : 1567
Maximum Edges in a Connected Component : 3614
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 10.778308
Graph Density : 7.60473555079955E-05
Modularity : 0.542077
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,531 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 Sunday, 13 June 2021 at 07:22 UTC.
The requested start date was Sunday, 13 June 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, 3-minute period from Wednesday, 09 June 2021 at 12:17 UTC to Friday, 11 June 2021 at 12:20 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:
[6801] covid,19 [540] contra,covid [380] 19,vaccine [269] 19,vaccines [202] increase,covid [187] survival,rates [185] 19,survival [184] 19,pandemic [178] hydroxychloroquine,zinc [178] zinc,increase Top Word Pairs in Tweet in G1:
[943] covid,19 [86] contra,covid [62] 19,vaccine [31] 19,pandemic [24] 19,vaccines [19] 19,hits [19] hits,country [19] quarantine,center [18] 19,cases [16] 19,vaccination Top Word Pairs in Tweet in G2:
[232] covid,19 [157] increase,covid [150] hydroxychloroquine,zinc [150] zinc,increase [147] survival,rates [140] another,one [140] one,bites [140] bites,dust [140] dust,hydroxychloroquine [140] 19,survival Top Word Pairs in Tweet in G3:
[147] covid,19 [29] despite,covid [20] made,india [20] india,mozambique [20] mozambique,despite [20] 19,challenges [20] challenges,railways [20] railways,exported [20] exported,3000 [20] 3000,hp Top Word Pairs in Tweet in G4:
[109] covid,19 [32] 19,vaccines [23] vaccines,free [23] free,vaccinated [23] vaccinated,folks [22] joebiden,covid [10] folks,delta [10] delta,variant [10] variant,highly [10] highly,infectious Top Word Pairs in Tweet in G5:
[173] covid,19 [153] favor,não [153] não,deixem [153] deixem,usar [153] usar,máscara [153] máscara,depois [153] depois,desse [153] desse,pronunciamento [153] pronunciamento,vacina [153] vacina,não Top Word Pairs in Tweet in G6:
[129] covid,19 [55] contra,covid [26] través,sistema [24] estará,convocando [22] plan,ii [22] ii,fase [22] fase,vacunación [22] vacunación,través [22] sistema,carnetdlapatria [22] carnetdlapatria,estará Top Word Pairs in Tweet in G7:
[103] covid,19 [61] doses,vacina [61] vacina,covid [43] mais,936 [43] 936,mil [43] mil,doses [43] 19,pfizer [36] lote,total [34] pousaram,final [34] final,noite Top Word Pairs in Tweet in G8:
[29] covid,19 [20] cleveland,clinic [13] human,right [13] right,access [13] access,#ivm [13] #ivm,cheap [13] cheap,effective [13] effective,very [13] very,safe [13] safe,drug Top Word Pairs in Tweet in G9:
[25] média,mainstream [25] mainstream,reporte [25] reporte,résultats [25] résultats,très [25] très,positifs [25] positifs,l'hcq [25] l'hcq,zinc [25] zinc,ca [25] ca,faire [25] faire,mal Top Word Pairs in Tweet in G10:
[71] anvisa,autoriza [71] autoriza,vacina [71] vacina,pfizer [71] partir,12 [71] 12,anos [70] covid,19 [69] #urgente,anvisa [69] pfizer,contra [69] contra,covid [69] 19,adolescentes Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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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 G3:
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Top Tweeters in G5:
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Top Tweeters in G10: