The graph represents a network of 7,404 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 January 2021 at 10:43 UTC.
The requested start date was Monday, 18 January 2021 at 01:01 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, 5-hour, 16-minute period from Thursday, 14 January 2021 at 08:38 UTC to Sunday, 17 January 2021 at 13:55 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 : 7404
Unique Edges : 1504
Edges With Duplicates : 14024
Total Edges : 15528
Number of Edge Types : 5
Replies to : 326
Mentions : 904
Retweet : 6624
MentionsInRetweet : 6935
Tweet : 739
Self-Loops : 751
Reciprocated Vertex Pair Ratio : 0.0016755096341804
Reciprocated Edge Ratio : 0.00334541399498188
Connected Components : 622
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 2742
Maximum Edges in a Connected Component : 6797
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.450595
Graph Density : 0.000130884197004835
Modularity : 0.443895
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,404 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 January 2021 at 10:43 UTC.
The requested start date was Monday, 18 January 2021 at 01:01 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, 5-hour, 16-minute period from Thursday, 14 January 2021 at 08:38 UTC to Sunday, 17 January 2021 at 13:55 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 : NCoV
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:
[1270] 新型コロナウイルスの感染が拡大していることから,県独自の [1270] 県独自の,緊急事態宣言 [1261] 県独自の緊急事態宣言を発令,新型コロナウイルスの感染が拡大していることから [1261] 緊急事態宣言,を発令しました [1261] を発令しました,県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など [1261] 県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など,県民の皆さまのご協力をお願いします [1258] ibaraki_kouhou,県独自の緊急事態宣言を発令 [1134] #covid19,vaccine [1118] getting,vaccinated [1105] available,more Top Word Pairs in Tweet in G1:
[1259] 新型コロナウイルスの感染が拡大していることから,県独自の [1259] 県独自の,緊急事態宣言 [1250] 県独自の緊急事態宣言を発令,新型コロナウイルスの感染が拡大していることから [1250] 緊急事態宣言,を発令しました [1250] を発令しました,県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など [1250] 県内全域における不要不急の外出自粛と飲食店の営業時間の短縮など,県民の皆さまのご協力をお願いします [1249] ibaraki_kouhou,県独自の緊急事態宣言を発令 [469] #新型コロナウイルス,感染症情報 [469] 引き続き,感染症対策にご協力をお願いします [464] ibaraki_kouhou,#新型コロナウイルス Top Word Pairs in Tweet in G2:
[1115] #covid19,vaccine [1106] getting,vaccinated [1097] more,#covid19 [1096] vaccine,becomes [1096] becomes,available [1096] available,more [1096] more,groups [1096] groups,people [1096] people,vaccinated [1096] vaccinated,getting Top Word Pairs in Tweet in G3:
[912] 医療従事者向け,新型コロナウイルスワクチンのまとめ [912] 新型コロナウイルスワクチンのまとめ,時間が無い人は [912] 時間が無い人は,要点だけで読めばよいです [912] 要点だけで読めばよいです,書いているのは [912] 書いているのは,感染症の世界で信頼できる医師です [911] invesdoctor,医療従事者向け [7] minesoh,cdc [6] cdc,covid [6] covid,19ワクチンについて知っておいてほしい8つのこと [6] 19ワクチンについて知っておいてほしい8つのこと,本当によくまとまっている Top Word Pairs in Tweet in G4:
[528] investigations,conducted [527] conducted,chinese [526] preliminary,investigations [522] found,clear [522] clear,evidence [521] chinese,authorities [521] authorities,found [521] evidence,human [521] human,human [521] human,transmission Top Word Pairs in Tweet in G5:
[64] error,frecuente [64] frecuente,llevar [64] llevar,mascarilla [64] mascarilla,barbilla [64] barbilla,mal [64] mal,ajustada [64] ajustada,nariz [64] nariz,fuera [64] fuera,cometas [61] sanidadgob,error Top Word Pairs in Tweet in G6:
[80] covid,19 [34] 2019,ncov [12] #coronavirus,#covid19 [12] 2021,01 [11] sars,cov [10] total,deaths [9] 19,vaccine [9] learn,more [9] casos,confirmados [9] total,confirmed Top Word Pairs in Tweet in G7:
[66] nextstrain,clade [50] 20j,501y [33] manaus,brazil [29] variant,emerging [29] predicted,yesterday [29] yesterday,variant [29] variant,identified [29] identified,manaus [29] brazil,given [29] given,nextstrain Top Word Pairs in Tweet in G8:
[25] covid,19 [20] prorroguen,mesures [20] mesures,protecció [20] protecció,reduir [20] reduir,els [20] els,contagis [20] contagis,entrar [20] entrar,vigor [20] vigor,dia [20] dia,gener Top Word Pairs in Tweet in G9:
[45] みなさん,おはようございますニャ [45] おはようございますニャ,茨城県は明日から独自の緊急事態宣言期間に入るニャ [45] 茨城県は明日から独自の緊急事態宣言期間に入るニャ,ボクも不要不急の外出 [45] ボクも不要不急の外出,自粛するニャ [45] 自粛するニャ,みなさん一緒にのんびりまったり [45] みなさん一緒にのんびりまったり,ぼんやりタイム [45] ぼんやりタイム,いかがかニャ [44] minato_osamu,みなさん [3] ibaraki_kouhou,#新型コロナウイルス [3] #新型コロナウイルス,感染症情報 Top Word Pairs in Tweet in G10:
[38] basado,publicación [38] publicación,cdc [38] cdc,cómo [38] cómo,elegir [38] elegir,buen [38] buen,tapabocas [38] tapabocas,verdad [38] verdad,proteja [37] anakamaya79,basado Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: