The graph represents a network of 11,656 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 Thursday, 23 June 2022 at 09:31 UTC.
The requested start date was Thursday, 23 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 Monday, 20 June 2022 at 12:16 UTC to Wednesday, 22 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 : 11656
Unique Edges : 7272
Edges With Duplicates : 11063
Total Edges : 18335
Number of Edge Types : 5
Retweet : 4999
MentionsInRetweet : 6027
Tweet : 2890
Replies to : 1490
Mentions : 2929
Self-Loops : 2927
Reciprocated Vertex Pair Ratio : 0.00697462852521985
Reciprocated Edge Ratio : 0.0138526400321221
Connected Components : 3172
Single-Vertex Connected Components : 992
Maximum Vertices in a Connected Component : 2252
Maximum Edges in a Connected Component : 4723
Maximum Geodesic Distance (Diameter) : 43
Average Geodesic Distance : 15.077917
Graph Density : 7.33305125892635E-05
Modularity : 0.603481
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,656 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 Thursday, 23 June 2022 at 09:31 UTC.
The requested start date was Thursday, 23 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 Monday, 20 June 2022 at 12:16 UTC to Wednesday, 22 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:
[1718] covid,19 [305] long,covid [226] during,covid [174] covid,vaccine [150] manuelrico,hoy [118] covid,vaccines [117] días,gobierno [116] gobierno,ayuso [116] ayuso,aprobó [116] aprobó,protocolo Top Word Pairs in Tweet in G1:
[244] covid,19 [17] teste,covid [15] children,under [15] contra,covid [14] during,covid [14] long,covid [13] 19,pandemic [13] 19,vaccines [13] covid,vaccine [13] covid,test Top Word Pairs in Tweet in G2:
[55] vaccination,covid [52] établissements,scolaires [51] attention,allemagne [51] allemagne,commence [51] commence,aujourd [51] aujourd,hui [51] hui,vaccination [51] covid,établissements [51] scolaires,zéro [51] zéro,autorisation Top Word Pairs in Tweet in G3:
[9] covid,batch [7] covid,19 [7] covid,vaccine [7] gds,result [7] covid,cases [6] himachal,lab [6] lab,clears [6] clears,pill [6] pill,based [6] based,covid Top Word Pairs in Tweet in G4:
[112] covid,19 [34] 19,venezuela [24] contra,covid [23] métodos,preventivos [22] uso,adecuado [22] adecuado,mascarilla [20] preventivos,efectivos [19] comunitarios,importados [18] mascarilla,indica [18] indica,métodos Top Word Pairs in Tweet in G5:
[20] long,covid [20] covid,19 [11] covid,reinfections [11] reinfections,benign [11] benign,39 [11] 39,000 [11] 000,people [11] people,reinfections [11] reinfections,vs [11] vs,million Top Word Pairs in Tweet in G6:
[10] month,yr [9] yr,old [8] nothing,positive [8] positive,pfizer [8] pfizer,month [8] yr,trial [8] trial,antibodies [8] antibodies,omicron [8] omicron,hospitalisation [7] covid,19 Top Word Pairs in Tweet in G7:
[19] covid,19 [15] country,world [14] folks,united [14] united,states [14] states,became [14] became,first [14] first,country [14] world,offer [14] offer,safe [14] safe,effective Top Word Pairs in Tweet in G8:
[150] manuelrico,hoy [116] días,gobierno [116] gobierno,ayuso [116] ayuso,aprobó [116] aprobó,protocolo [116] protocolo,impedía [116] impedía,trasladar [116] trasladar,hospital [116] hospital,residentes [109] residentes,vulnerab Top Word Pairs in Tweet in G9:
[50] remember,told [50] told,covid [50] covid,opportunity [50] opportunity,global [50] global,reset [50] reset,telling [50] telling,inflation [49] ericmmatheny,remember [36] covid,vaccines [28] covid,19 Top Word Pairs in Tweet in G10:
[38] covid,vx [38] vx,affects [38] affects,male [29] covid,vaccine [24] paper,bmj [24] bmj,editor [24] editor,dr [24] dr,peter [24] peter,doshi [24] doshi,analysed Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: