The graph represents a network of 9,493 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 Wednesday, 08 June 2022 at 07:18 UTC.
The requested start date was Wednesday, 08 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, 17-minute period from Friday, 03 June 2022 at 12:00 UTC to Tuesday, 07 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 : 9493
Unique Edges : 4639
Edges With Duplicates : 11856
Total Edges : 16495
Number of Edge Types : 5
Retweet : 5432
MentionsInRetweet : 6229
Tweet : 2714
Replies to : 466
Mentions : 1654
Self-Loops : 2764
Reciprocated Vertex Pair Ratio : 0.00532319391634981
Reciprocated Edge Ratio : 0.010590015128593
Connected Components : 2563
Single-Vertex Connected Components : 1046
Maximum Vertices in a Connected Component : 1767
Maximum Edges in a Connected Component : 3863
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 10.325789
Graph Density : 8.80281338448465E-05
Modularity : 0.540861
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,493 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 Wednesday, 08 June 2022 at 07:18 UTC.
The requested start date was Wednesday, 08 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, 17-minute period from Friday, 03 June 2022 at 12:00 UTC to Tuesday, 07 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:
[5989] covid,19 [382] 19,vaccine [377] positive,covid [248] 19,vaccination [247] sousa,faro [237] tested,positive [214] contra,covid [207] 19,pandemic [207] bisexual,used [207] used,being Top Word Pairs in Tweet in G1:
[962] covid,19 [52] 19,pandemic [42] contra,covid [38] 19,vaccine [32] casos,covid [27] #covid,19 [26] 19,cases [26] àª,ઠ[24] during,covid [20] ãƒ,ムTop Word Pairs in Tweet in G2:
[206] bisexual,used [206] used,being [206] being,invisible [206] invisible,ignored [206] ignored,flat [206] flat,told [206] told,exist [206] exist,pride [206] pride,month [206] month,decided Top Word Pairs in Tweet in G3:
[204] covid,19 [149] positive,covid [108] #haechan,#jaemin [105] tested,positive [101] 19,today [89] nct,dream [86] #jaemin,tested [86] self,quarantine [84] 220606,nct [84] dream,#haechan Top Word Pairs in Tweet in G4:
[167] sousa,faro [166] dr,sousa [165] injected,saline [165] saline,solution [165] solution,dr [165] faro,president [165] president,european [165] european,pharma [165] pharma,giant [165] giant,pharmamar Top Word Pairs in Tweet in G5:
[101] covid,19 [37] 19,gaslighting [36] govt,media [36] media,consistently [36] consistently,suggested [36] suggested,dichotomy [36] dichotomy,balance [36] balance,between [36] between,protecting [36] protecting,economy Top Word Pairs in Tweet in G6:
[157] covid,19 [118] 19,uma [118] uma,doença [118] doença,curiosa [118] curiosa,não [118] não,pega [118] pega,bolsonaro [118] bolsonaro,vive [118] vive,meio [118] meio,multidões Top Word Pairs in Tweet in G7:
[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 G8:
[103] covid,19 [84] vaccin,covid [83] 19,médecin [83] médecin,défenseur [83] big,pharma [81] forcer,faire [80] défenseur,vaccination [80] vaccination,été [80] été,payé [80] payé,161 Top Word Pairs in Tweet in G9:
[99] covid,19 [77] repunte,casos [77] casos,covid [53] 18,mil [40] méxico,reportó [40] reportó,18 [40] mil,casos [40] 19,semana [40] semana,veo [40] veo,próximo Top Word Pairs in Tweet in G10:
[69] selon,police [69] police,presse [69] presse,espagnoles [69] espagnoles,jose [69] jose,maria [69] maria,fernandez [69] fernandez,sousa [69] sousa,faro [69] faro,président [69] président,géant Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
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 G10: