The graph represents a network of 8,724 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, 08 June 2022 at 08:48 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, 1-hour, 7-minute period from Friday, 03 June 2022 at 11:17 UTC to Tuesday, 07 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 : 8724
Unique Edges : 4406
Edges With Duplicates : 12058
Total Edges : 16464
Number of Edge Types : 5
Retweet : 5091
MentionsInRetweet : 6069
Tweet : 2537
Replies to : 660
Mentions : 2107
Self-Loops : 2615
Reciprocated Vertex Pair Ratio : 0.00619914761720263
Reciprocated Edge Ratio : 0.0123219098960339
Connected Components : 2128
Single-Vertex Connected Components : 992
Maximum Vertices in a Connected Component : 2030
Maximum Edges in a Connected Component : 4640
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 12.270158
Graph Density : 0.000102379186646443
Modularity : 0.523315
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,724 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, 08 June 2022 at 08:48 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, 1-hour, 7-minute period from Friday, 03 June 2022 at 11:17 UTC to Tuesday, 07 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:
[804] covid,19 [211] covid,cases [198] cases,deaths [181] florida,undercounted [181] undercounted,covid [180] 詳細は下記urlより,#新型コロナウイルス [179] test,results [177] deaths,failed [177] failed,test [160] ãƒ,ムTop Word Pairs in Tweet in G1:
[163] covid,19 [60] ðÿÿ,ðÿÿ [44] ãƒ,ム[40] #coronavirus,#covid19 [30] #covid19,#coronavirus [26] àª,ઠ[23] coronavirus,pandemic [20] æ,æ [20] ãƒ,æ [20] 100,000 Top Word Pairs in Tweet in G2:
[116] florida,undercounted [116] undercounted,covid [116] covid,cases [116] cases,deaths [116] deaths,failed [116] failed,test [116] test,results [116] results,florida [116] florida,#covid19 [116] #covid19,data Top Word Pairs in Tweet in G3:
[144] bolsonaro,herdou [144] herdou,destruído [144] destruído,uma [144] uma,pandemia [144] pandemia,enviou [144] enviou,bilhões [144] bilhões,estados [144] estados,municípios [144] municípios,investiu [144] investiu,mais Top Word Pairs in Tweet in G4:
[110] ノババックスワクチン,全国で接種が始まり副反応が軽いとかで予約好調 [110] 全国で接種が始まり副反応が軽いとかで予約好調,一方 [110] 一方,米では治験で心筋炎のリスクがかなり高率なので [110] 米では治験で心筋炎のリスクがかなり高率なので,添付文書に載せろとするfdaと [110] 添付文書に載せろとするfdaと,否定するメーカーが揉めてるらしい [110] 否定するメーカーが揉めてるらしい,もちろん厚労省はそういうことで揉めたりせず [109] my_fc1,ノババックスワクチン [109] もちろん厚労省はそういうことで揉めたりせず,当然日本のマスコミも報 [53] 米ｆｄａ,ノババックス製コロナワクチンの心筋炎リスクを懸念 [35] ノババックス製コロナワクチンの心筋炎リスクを懸念,2022年6月6日 Top Word Pairs in Tweet in G5:
[3] liamalone69,pureblo27129916 [3] pureblo27129916,jmac19631 [3] jmac19631,nascarian [3] nascarian,daddypsyops [3] daddypsyops,ninnavdj [3] ninnavdj,trueblood777111 [3] teejay0063,michellebehlen [3] michellebehlen,idonotconsent7 [3] idonotconsent7,berwick64 [3] berwick64,simoncooper32 Top Word Pairs in Tweet in G6:
[153] os,acordã [153] acordã,asociaciã [153] asociaciã,nacional [153] nacional,vã [153] vã,ctimas [153] ctimas,afectados [153] afectados,coronavirus [153] coronavirus,anvac [153] anvac,aquella [153] aquella,pseudo Top Word Pairs in Tweet in G7:
[22] lauterbachs,gesamte [22] gesamte,rede [22] rede,22 [22] 22,gute [22] gute,einschätzung [22] einschätzung,hierzu [22] hierzu,rki [21] shomburg,lauterbachs [14] ganz,offensichtlich [14] offensichtlich,leben Top Word Pairs in Tweet in G8:
[32] quick,comparison [32] comparison,last [32] last,years [32] years,covid [32] covid,infection [32] infection,survey [32] survey,shows [32] shows,10x [32] 10x,prevalence [32] prevalence,#coronavirus Top Word Pairs in Tweet in G9:
[42] the_stinging,ginnymooy [42] ginnymooy,marionkoopmans [41] veen_els,the_stinging [38] marion,koopmans [37] marionkoopmans,zwijgen [37] zwijgen,marion [37] koopmans,over [37] over,herkomst [37] herkomst,#coronavirus [37] #coronavirus,zegt Top Word Pairs in Tweet in G10:
[64] april,2022 [64] 2022,government [64] government,found [64] found,broken [64] broken,law [64] law,sent [64] sent,patients [64] patients,care [64] care,homes [64] homes,without 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 G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: