The graph represents a network of 9,531 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 Tuesday, 07 June 2022 at 07:18 UTC.
The requested start date was Tuesday, 07 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 4-day, 0-hour, 13-minute period from Thursday, 02 June 2022 at 12:04 UTC to Monday, 06 June 2022 at 12:17 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 : 9531
Unique Edges : 4728
Edges With Duplicates : 11989
Total Edges : 16717
Number of Edge Types : 5
Tweet : 2755
Mentions : 1762
Retweet : 5433
MentionsInRetweet : 6282
Replies to : 485
Self-Loops : 2805
Reciprocated Vertex Pair Ratio : 0.0073916311701328
Reciprocated Edge Ratio : 0.0146747916925756
Connected Components : 2579
Single-Vertex Connected Components : 1070
Maximum Vertices in a Connected Component : 1923
Maximum Edges in a Connected Component : 4253
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 10.640405
Graph Density : 8.85276002766914E-05
Modularity : 0.539447
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,531 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 Tuesday, 07 June 2022 at 07:18 UTC.
The requested start date was Tuesday, 07 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 4-day, 0-hour, 13-minute period from Thursday, 02 June 2022 at 12:04 UTC to Monday, 06 June 2022 at 12:17 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:
[6169] covid,19 [570] ãƒ,ム[420] 19,vaccine [398] positive,covid [302] speedy,recovery [299] sonia,gandhi [278] recovery,covid [275] tested,positive [274] president,smt [272] smt,sonia Top Word Pairs in Tweet in G1:
[957] covid,19 [59] àª,ઠ[55] ø,ø [45] ø,ù [45] î,î [44] 19,pandemic [40] contra,covid [36] ù,ø [35] ãƒ,ム[32] 19,cases Top Word Pairs in Tweet in G2:
[406] covid,19 [276] speedy,recovery [261] recovery,covid [261] president,smt [259] smt,sonia [259] sonia,gandhi [253] gandhi,ji [243] congress,president [240] ji,speedy [226] wishing,congress Top Word Pairs in Tweet in G3:
[205] covid,19 [149] positive,covid [106] #haechan,#jaemin [105] tested,positive [99] 19,today [88] nct,dream [84] #jaemin,tested [84] self,quarantine [82] 220606,nct [82] dream,#haechan Top Word Pairs in Tweet in G4:
[150] covid,19 [102] 19,uma [102] uma,doença [102] doença,curiosa [102] curiosa,não [102] não,pega [102] pega,bolsonaro [102] bolsonaro,vive [102] vive,meio [102] meio,multidões Top Word Pairs in Tweet in G5:
[117] sousa,faro [116] dr,sousa [115] injected,saline [115] saline,solution [115] solution,dr [115] faro,president [115] president,european [115] european,pharma [115] pharma,giant [115] giant,pharmamar Top Word Pairs in Tweet in G6:
[100] covid,19 [77] vaccin,covid [77] 19,médecin [77] médecin,défenseur [76] forcer,faire [74] défenseur,vaccination [74] vaccination,été [74] été,payé [74] payé,161 [74] 161,646 Top Word Pairs in Tweet in G7:
[71] covid,19 [31] alors,nombreux [31] nombreux,scientifiques [31] scientifiques,depuis [31] depuis,ans [31] ans,avaient [31] bienfaits,vitamine [31] vitamine,olivierveran [30] p_duval,alors [29] dã,cã Top Word Pairs in Tweet in G8:
[48] covid,19 [21] hope,many [21] many,athletes [21] athletes,possible [21] possible,participate [21] participate,ve [21] ve,changed [21] changed,policy [20] epochtimes,hope [20] policy,spec Top Word Pairs in Tweet in G9:
[63] covid,19 [36] govt,media [36] media,consistently [36] consistently,suggested [36] suggested,dichotomy [36] dichotomy,balance [36] balance,between [36] between,protecting [36] protecting,economy [36] 19,gaslighting Top Word Pairs in Tweet in G10:
[141] covid,19 [44] 19,venezuela [43] nuevos,casos [28] venezuela,registra [23] contra,covid [23] uso,adecuado [23] adecuado,mascarilla [22] iaim_ve,desea [20] lucha,contra [20] 68,nuevos Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: