The graph represents a network of 8,273 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 Wednesday, 05 October 2022 at 08:42 UTC.
The requested start date was Wednesday, 05 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 2-day, 2-hour, 37-minute period from Sunday, 02 October 2022 at 09:47 UTC to Tuesday, 04 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 : 8273
Unique Edges : 3627
Edges With Duplicates : 11901
Total Edges : 15528
Number of Edge Types : 5
MentionsInRetweet : 5693
Retweet : 5269
Replies to : 691
Mentions : 1831
Tweet : 2044
Self-Loops : 2187
Reciprocated Vertex Pair Ratio : 0.00478599753862984
Reciprocated Edge Ratio : 0.00952640174197061
Connected Components : 1743
Single-Vertex Connected Components : 768
Maximum Vertices in a Connected Component : 2602
Maximum Edges in a Connected Component : 5948
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.236109
Graph Density : 0.000107373126113916
Modularity : 0.509643
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,273 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 Wednesday, 05 October 2022 at 08:42 UTC.
The requested start date was Wednesday, 05 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 2-day, 2-hour, 37-minute period from Sunday, 02 October 2022 at 09:47 UTC to Tuesday, 04 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:
[819] covid,19 [390] ecohealth,alliance [363] peter,dzask [362] dzask,ecohealth [361] unbelievable,fauci [361] fauci,waning [361] waning,months [361] months,head [361] head,niaid [361] niaid,greenlit Top Word Pairs in Tweet in G1:
[137] covid,19 [80] 200,000 [66] 000,over [66] over,25 [66] 25,years [42] 32,mortgage [36] rates,200 [29] #coronavirus,#covid19 [29] 32,rates [22] #covid19,#coronavirus Top Word Pairs in Tweet in G2:
[306] attention,brigitte [306] brigitte,autran [306] autran,dirige [306] dirige,nouveau [306] nouveau,conseil [306] conseil,scientifique [306] scientifique,vient [306] vient,cracher [306] cracher,morceau [306] morceau,ils Top Word Pairs in Tweet in G3:
[351] unbelievable,fauci [351] fauci,waning [351] waning,months [351] months,head [351] head,niaid [351] niaid,greenlit [351] greenlit,600k [351] 600k,grant [351] grant,peter [351] peter,dzask Top Word Pairs in Tweet in G4:
[180] #prevención,acude [180] acude,centro [180] centro,inmunización [180] inmunización,cercano [180] cercano,domicilio [180] domicilio,lugar [180] lugar,trabajo [180] trabajo,ponte [180] ponte,vacuna [173] vtvcanal8,#prevención Top Word Pairs in Tweet in G5:
[61] leggi,più [48] più,#casaitaliaradio [44] #casaitaliaradio,#webradio [41] covid,19 [40] #webradio,#radio [38] #radio,#casa [37] #casa,#home [37] #home,#design [37] #design,#politica [37] #politica,#interiordesign Top Word Pairs in Tweet in G6:
[205] covid,19 [203] norway,recommend [203] recommend,covid [203] 19,boosters [203] boosters,healthy [203] healthy,individuals [203] individuals,lt [203] lt,65 [203] 65,years [203] years,age Top Word Pairs in Tweet in G7:
[215] 臨時,ドイツ [215] ドイツ,マスク義務化 [215] マスク義務化,おぉ [215] おぉ,マスクしている国なんて日本だけだよ [215] 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 [215] 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 [215] 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 [215] 特に厳しいのは長距離公共交通機関,飛行機除く [215] 飛行機除く,医療施設利用者は [214] geiger_warning,臨時 Top Word Pairs in Tweet in G8:
[70] coronavirus,perfekt [70] perfekt,angepasst [70] angepasst,zeit [70] zeit,schutzmaßnahmen [70] schutzmaßnahmen,einhalten [69] corneliabeeking,coronavirus [69] einhalten,deutli [35] coronavirus,die [34] interessante,daten [34] daten,schweiz Top Word Pairs in Tweet in G9:
[111] cant,remember [111] remember,used [111] used,talk [111] talk,before [111] before,coronavirus [110] xavierofficials,cant Top Word Pairs in Tweet in G10:
[31] coronavirus,infections [31] infections,once [31] once,again [31] again,rise [31] rise,primary [31] primary,secondary [31] secondary,education [31] education,minister [31] minister,dennis [31] dennis,wiersma Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: