The graph represents a network of 8,344 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 Tuesday, 04 October 2022 at 12:32 UTC.
The requested start date was Tuesday, 04 October 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 3-day, 0-hour, 57-minute period from Friday, 30 September 2022 at 11:28 UTC to Monday, 03 October 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 : 8344
Unique Edges : 3707
Edges With Duplicates : 11688
Total Edges : 15395
Number of Edge Types : 5
Retweet : 5203
MentionsInRetweet : 5553
Tweet : 2030
Replies to : 763
Mentions : 1846
Self-Loops : 2207
Reciprocated Vertex Pair Ratio : 0.00371338192820795
Reciprocated Edge Ratio : 0.00739928747602083
Connected Components : 1716
Single-Vertex Connected Components : 746
Maximum Vertices in a Connected Component : 2164
Maximum Edges in a Connected Component : 4578
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.142881
Graph Density : 0.000104835246339558
Modularity : 0.512886
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,344 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 Tuesday, 04 October 2022 at 12:32 UTC.
The requested start date was Tuesday, 04 October 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 3-day, 0-hour, 57-minute period from Friday, 30 September 2022 at 11:28 UTC to Monday, 03 October 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:
[675] covid,19 [411] reino,unido [411] dezembro,2020 [409] em,2020 [408] urgente,bolsonaro [408] bolsonaro,mente [408] mente,ao [408] ao,afirmar [408] afirmar,nenhum [408] nenhum,comprou Top Word Pairs in Tweet in G1:
[124] covid,19 [86] 200,000 [73] 000,over [73] over,25 [73] 25,years [46] 32,mortgage [43] rates,200 [31] 32,rates [29] #coronavirus,#covid19 [23] found,32 Top Word Pairs in Tweet in G2:
[408] urgente,bolsonaro [408] bolsonaro,mente [408] mente,ao [408] ao,afirmar [408] afirmar,nenhum [408] nenhum,comprou [408] comprou,vacina [408] vacina,em [408] em,2020 [408] 2020,dia Top Word Pairs in Tweet in G3:
[324] unbelievable,fauci [324] fauci,waning [324] waning,months [324] months,head [324] head,niaid [324] niaid,greenlit [324] greenlit,600k [324] 600k,grant [324] grant,peter [324] peter,dzask Top Word Pairs in Tweet in G4:
[265] cant,remember [265] remember,used [265] used,talk [265] talk,before [265] before,coronavirus [264] xavierofficials,cant Top Word Pairs in Tweet in G5:
[176] public,transport [103] italy,drops [103] drops,covid [103] covid,19 [103] 19,face [103] face,mask [103] mask,rule [103] rule,public [75] stohr_klaus,italy [73] italians,longer Top Word Pairs in Tweet in G6:
[210] वक,त [209] म,क [119] रह,थ [105] म,श [105] श,क [105] क,ल [105] ल,वक [105] त,थ [105] थ,आप [105] आप,अपन Top Word Pairs in Tweet in G7:
[205] 臨時,ドイツ [205] ドイツ,マスク義務化 [205] マスク義務化,おぉ [205] おぉ,マスクしている国なんて日本だけだよ [205] マスクしている国なんて日本だけだよ,とよく耳にしますが [205] とよく耳にしますが,感染拡大のドイツは義務化法案9月16日可決10月1日施行 [205] 感染拡大のドイツは義務化法案9月16日可決10月1日施行,特に厳しいのは長距離公共交通機関 [205] 特に厳しいのは長距離公共交通機関,飛行機除く [205] 飛行機除く,医療施設利用者は [204] geiger_warning,臨時 Top Word Pairs in Tweet in G8:
[132] últimas,horas [127] lamentablemente,últimas [127] horas,venezolan [127] venezolan,fallecieron [127] fallecieron,causa [127] causa,coronavirus [127] coronavirus,mujer [127] mujer,88 [126] delcyrodriguezv,lamentablemente [124] 88,zul Top Word Pairs in Tweet in G9:
[67] coronavirus,perfekt [67] perfekt,angepasst [67] angepasst,zeit [67] zeit,schutzmaßnahmen [67] schutzmaßnahmen,einhalten [66] corneliabeeking,coronavirus [66] einhalten,deutli [33] coronavirus,die [32] interessante,daten [32] daten,schweiz Top Word Pairs in Tweet in G10:
[27] covid,19 [16] sweden's,public [16] public,health [16] health,agency [16] agency,longer [16] longer,recommending [16] recommending,children [16] children,aged [16] aged,12 [13] 12,17 Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: