The graph represents a network of 11,695 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 June 2022 at 07:56 UTC.
The requested start date was Friday, 24 June 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, 0-hour, 3-minute period from Tuesday, 21 June 2022 at 12:16 UTC to Thursday, 23 June 2022 at 12:19 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 : 11695
Unique Edges : 7211
Edges With Duplicates : 11160
Total Edges : 18371
Number of Edge Types : 5
Retweet : 5056
MentionsInRetweet : 6092
Replies to : 1462
Tweet : 2904
Mentions : 2857
Self-Loops : 2951
Reciprocated Vertex Pair Ratio : 0.00690425423900904
Reciprocated Edge Ratio : 0.0137138247453867
Connected Components : 3249
Single-Vertex Connected Components : 996
Maximum Vertices in a Connected Component : 1769
Maximum Edges in a Connected Component : 3813
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 11.09153
Graph Density : 7.25131877556324E-05
Modularity : 0.600853
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,695 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 June 2022 at 07:56 UTC.
The requested start date was Friday, 24 June 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, 0-hour, 3-minute period from Tuesday, 21 June 2022 at 12:16 UTC to Thursday, 23 June 2022 at 12:19 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
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:
[1627] covid,19 [237] long,covid [203] during,covid [168] covid,vaccine [146] covid,ido [145] dar,cara [144] #preveniressalud,covid [133] etiqueta,día [133] covid,cara [132] pleno,dar Top Word Pairs in Tweet in G1:
[231] covid,19 [16] during,covid [15] teste,covid [13] covid,vaccine [13] #covid,#covid19 [12] contra,covid [12] long,covid [12] 19,pandemic [12] covid,test [11] casos,covid Top Word Pairs in Tweet in G2:
[142] covid,ido [140] #preveniressalud,covid [130] etiqueta,día [129] covid,19 [126] día,#preveniressalud [119] #23jun,etiqueta [111] ido,vacúnate [39] 19,venezuela [31] contra,covid [26] mippcivzla,#23jun Top Word Pairs in Tweet in G3:
[26] covid,19 [9] article,mainstream [9] mainstream,journal [9] journal,nejm [9] nejm,showing [9] showing,vaccines [9] vaccines,protect [9] protect,against [9] against,covid [9] 19,based Top Word Pairs in Tweet in G4:
[19] covid,vaccines [19] living,covid [19] positive,covid [17] remember,vaccinate [17] vaccinate,elderly [17] elderly,ll [17] ll,come [17] come,babies [17] babies,everyone [17] covid,19 Top Word Pairs in Tweet in G5:
[143] dar,cara [131] pleno,dar [130] dice,ayuso [130] ayuso,estoy [130] estoy,pleno [130] cara,estoy [130] estoy,casa [130] casa,covid [130] covid,cara [130] cara,hospital Top Word Pairs in Tweet in G6:
[20] long,covid [19] last,year [16] covid,shot [14] year,told [14] told,covid [14] shot,protect [14] protect,getting [14] getting,spreading [14] spreading,covid [14] covid,true Top Word Pairs in Tweet in G7:
[19] prolongation,certificat [15] parlement,européen [15] voter,prolongation [14] pierre,chaillot [14] chaillot,fondateur [14] fondateur,chaîne [13] covid,19 [13] cas,covid [10] contre,covid [9] gros,clash Top Word Pairs in Tweet in G8:
[9] covid,cases [7] treat,future [7] future,doctors [7] doctors,nta [7] nta,dpradhanbjp [7] dpradhanbjp,give [7] give,lives [7] lives,front [7] front,line [7] line,covid Top Word Pairs in Tweet in G9:
[54] vaccination,covid [52] attention,allemagne [52] allemagne,commence [52] commence,aujourd [52] aujourd,hui [52] hui,vaccination [52] covid,établissements [52] établissements,scolaires [52] scolaires,zéro [52] zéro,autorisation Top Word Pairs in Tweet in G10:
[33] lasso,covid [25] #paronacionalec2022,lasso [25] covid,llevenlo [25] llevenlo,hospital [25] hospital,público [25] público,vive [25] vive,carne [25] carne,propia [25] propia,maravilloso [24] pedritoextranja,#paronacionalec2022 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: