The graph represents a network of 8,692 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 09:30 UTC.
The requested start date was Sunday, 12 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, 1-hour, 15-minute period from Wednesday, 08 June 2022 at 11:10 UTC to Friday, 10 June 2022 at 12:25 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 : 8692
Unique Edges : 4810
Edges With Duplicates : 10871
Total Edges : 15681
Number of Edge Types : 5
Retweet : 4494
MentionsInRetweet : 5200
Tweet : 3111
Replies to : 629
Mentions : 2247
Self-Loops : 3239
Reciprocated Vertex Pair Ratio : 0.00709318497913769
Reciprocated Edge Ratio : 0.0140864521474934
Connected Components : 2461
Single-Vertex Connected Components : 1226
Maximum Vertices in a Connected Component : 1061
Maximum Edges in a Connected Component : 2166
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 10.813419
Graph Density : 9.58537437869803E-05
Modularity : 0.524359
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,692 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 09:30 UTC.
The requested start date was Sunday, 12 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, 1-hour, 15-minute period from Wednesday, 08 June 2022 at 11:10 UTC to Friday, 10 June 2022 at 12:25 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 : Coronavirus
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:
[821] covid,19 [205] 詳細は下記urlより,#新型コロナウイルス [177] #新型コロナウイルス,#covid19 [148] #coronavirus,#covid19 [148] #covid19,#covid_19 [125] क,र [125] coronavirus,pandemic [121] coronavirus,deaths [118] #covid_19,#covidー19 [116] #covid19,#coronavirus Top Word Pairs in Tweet in G1:
[220] covid,19 [41] #coronavirus,#covid19 [39] #covid19,#coronavirus [35] क,र [34] 19,vaccine [34] coronavirus,cases [33] coronavirus,pandemic [32] र,न [31] shock,shanghai [31] shanghai,lockdown Top Word Pairs in Tweet in G2:
[6] happyclown_7_,takethatct [5] rogueliberal69,carrotteg [5] carrotteg,happyclown_7_ [5] takethatct,katarina1970 [5] simonpeterson74,badboyntx [5] badboyntx,joe09396262 [5] joe09396262,spnwench2 [4] katarina1970,stephenoxborro1 [4] stephenoxborro1,fillmorewhite [4] fillmorewhite,capnchuck2 Top Word Pairs in Tweet in G3:
[92] pieks,nummer [46] nummer,israelis [46] israelis,steht [46] steht,kurz [46] kurz,bevor [46] bevor,die [46] die,dritte [46] dritte,dosis [46] dosis,vollständigen [46] vollständigen,immunisierung Top Word Pairs in Tweet in G4:
[87] ainda,bem [70] em,abril [70] abril,2020 [70] 2020,bbc [70] bbc,fez [70] fez,uma [70] uma,matéria [70] matéria,seguinte [70] seguinte,tema [70] tema,coronavirus Top Word Pairs in Tweet in G5:
[50] desahuciada,mes [39] covid,persistente [38] enferma,covid [38] persistente,desahuciada [33] mes,psoe [33] psoe,podemos [33] podemos,nada [33] nada,decir [33] decir,#stopdesahucios [32] la_pah,enferma Top Word Pairs in Tweet in G6:
[25] covid,cases [23] suspect,people [23] people,going [23] going,furious [23] furious,realize [23] realize,little [23] little,knew [23] knew,decided [23] decided,children [22] ecooperauthor,suspect Top Word Pairs in Tweet in G8:
[52] க,ர [46] ர,ன [35] க,க [27] ப,ப [26] ப,த [21] #coronavirus,#covid19 [21] ப,ர [21] #covid19,#coronavirus [19] #estadosunidos,#usa [18] ட,ட Top Word Pairs in Tweet in G9:
[41] covid,death [41] death,rate [41] rate,times [41] times,higher [41] higher,retail [41] retail,service [41] service,workers [40] meetjess,covid [16] covid,19 [15] early,signs Top Word Pairs in Tweet in G10:
[10] ba,ba [8] co,tzfam74vsq [7] covid,19 [6] consalud_es,#especialcoronavirus [6] ee,uu [5] redaccionmedica,#directo [4] secuenciación,sars [4] sars,cov [4] aumento,presencia [4] ba,españa Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: