The graph represents a network of 7,622 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 Tuesday, 19 January 2021 at 10:54 UTC.
The requested start date was Tuesday, 19 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, 2-hour, 55-minute period from Friday, 15 January 2021 at 10:57 UTC to Monday, 18 January 2021 at 13:52 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 : 7622
Unique Edges : 2197
Edges With Duplicates : 13441
Total Edges : 15638
Number of Edge Types : 5
Retweet : 6169
MentionsInRetweet : 6545
Mentions : 1423
Tweet : 913
Replies to : 588
Self-Loops : 936
Reciprocated Vertex Pair Ratio : 0.00315198026586268
Reciprocated Edge Ratio : 0.00628415300546448
Connected Components : 781
Single-Vertex Connected Components : 269
Maximum Vertices in a Connected Component : 3530
Maximum Edges in a Connected Component : 7574
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.684895
Graph Density : 0.000126017301349132
Modularity : 0.455944
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,622 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 Tuesday, 19 January 2021 at 10:54 UTC.
The requested start date was Tuesday, 19 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, 2-hour, 55-minute period from Friday, 15 January 2021 at 10:57 UTC to Monday, 18 January 2021 at 13:52 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:
[1371] #covid19,vaccine [1365] getting,vaccinated [1348] available,more [1345] more,#covid19 [1345] people,vaccinated [1344] vaccine,becomes [1344] becomes,available [1344] more,groups [1344] groups,people [1344] vaccinated,getting Top Word Pairs in Tweet in G1:
[1349] #covid19,vaccine [1345] getting,vaccinated [1334] more,#covid19 [1333] vaccine,becomes [1333] becomes,available [1333] available,more [1333] more,groups [1333] groups,people [1333] people,vaccinated [1333] vaccinated,getting Top Word Pairs in Tweet in G2:
[366] 催物,イベント等 [366] イベント等,開催制限 [355] #新型コロナウイルス,感染症情報 [349] 引き続き,感染症対策にご協力をお願いします [348] 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 [348] 県独自の,緊急事態宣言 [345] ibaraki_kouhou,#新型コロナウイルス [344] 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 [344] 緊急事態宣言,を発令しました [344] 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 Top Word Pairs in Tweet in G3:
[436] 医療従事者向け,新型コロナウイルスワクチンのまとめ [436] 新型コロナウイルスワクチンのまとめ,時間が無い人は [436] 時間が無い人は,要点だけで読めばよいです [436] 要点だけで読めばよいです,書いているのは [436] 書いているのは,感染症の世界で信頼できる医師です [435] invesdoctor,医療従事者向け [5] minesoh,cdc [4] ibaraki_kouhou,#新型コロナウイルス [4] #新型コロナウイルス,感染症情報 [4] 引き続き,感染症対策にご協力をお願いします Top Word Pairs in Tweet in G4:
[307] preliminary,investigations [307] investigations,conducted [306] conducted,chinese [306] found,clear [306] clear,evidence [305] chinese,authorities [305] authorities,found [305] evidence,human [305] human,human [305] human,transmission Top Word Pairs in Tweet in G5:
[98] error,frecuente [98] frecuente,llevar [98] llevar,mascarilla [98] mascarilla,barbilla [98] barbilla,mal [98] mal,ajustada [98] ajustada,nariz [98] nariz,fuera [98] fuera,cometas [95] sanidadgob,error Top Word Pairs in Tweet in G6:
[97] covid,19 [31] 2019,ncov [22] learn,more [14] sars,cov [12] 19,vaccine [11] getting,covid [9] one,tool [9] tool,alone [9] alone,going [9] going,stop Top Word Pairs in Tweet in G7:
[168] covid,19 [159] negative,covid [145] 19,viral [125] viral,test [124] attempting,enter [122] jan,26 [96] 26,travelers [93] alert,beginning [93] beginning,jan [93] travelers,attempting Top Word Pairs in Tweet in G8:
[117] clarification,cdc [117] cdc,reports [117] reports,temp [117] temp,screening [117] screening,establishments [117] establishments,optional [117] optional,inaccurate [117] inaccurate,machines [117] machines,untrained [117] untrained,testers Top Word Pairs in Tweet in G9:
[58] south,african [49] updated,data [48] build,updated [47] focal,n501 [47] n501,build [47] non,uk [47] uk,non [47] non,south [47] african,sequences [46] firefoxx66,focal Top Word Pairs in Tweet in G10:
[21] falso,virus [21] virus,aislado [21] aislado,secuenciado [21] secuenciado,decenas [21] decenas,miles [21] miles,veces [21] veces,base [21] base,datos [21] datos,abierta [20] abierta,acceso Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: