The graph represents a network of 7,470 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, 23 February 2021 at 10:49 UTC.
The requested start date was Tuesday, 23 February 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, 15-hour, 31-minute period from Thursday, 18 February 2021 at 22:23 UTC to Monday, 22 February 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 : 7470
Unique Edges : 2553
Edges With Duplicates : 13052
Total Edges : 15605
Number of Edge Types : 5
Retweet : 5813
MentionsInRetweet : 6469
Tweet : 1225
Replies to : 616
Mentions : 1482
Self-Loops : 1272
Reciprocated Vertex Pair Ratio : 0.00380952380952381
Reciprocated Edge Ratio : 0.00759013282732448
Connected Components : 904
Single-Vertex Connected Components : 337
Maximum Vertices in a Connected Component : 4329
Maximum Edges in a Connected Component : 10524
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.291661
Graph Density : 0.000132237792155815
Modularity : 0.470773
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,470 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, 23 February 2021 at 10:49 UTC.
The requested start date was Tuesday, 23 February 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, 15-hour, 31-minute period from Thursday, 18 February 2021 at 22:23 UTC to Monday, 22 February 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:
[1390] 火,から [1383] 明日2月23日,火 [1381] から,県独自の [1381] 県独自の,#緊急事態宣言 [1381] #緊急事態宣言,を [1381] を,#解除 [1380] #解除,いたします [1380] 引き続き,感染症対策のご協力をお願いいたします [1378] いたします,県民の皆さまにおかれましては [1378] 県民の皆さまにおかれましては,対策にご協力いただきありがとうございました Top Word Pairs in Tweet in G1:
[1364] 明日2月23日,火 [1364] 火,から [1364] から,県独自の [1364] 県独自の,#緊急事態宣言 [1364] #緊急事態宣言,を [1364] を,#解除 [1364] #解除,いたします [1364] いたします,県民の皆さまにおかれましては [1364] 県民の皆さまにおかれましては,対策にご協力いただきありがとうございました [1364] 対策にご協力いただきありがとうございました,引き続き Top Word Pairs in Tweet in G2:
[134] covid,19 [121] february,15 [121] 15,national [121] national,forecasts [121] forecasts,predict [118] cdcgov,february [87] getting,#covid19 [71] predict,400 [71] 400,18 [71] 18,500 Top Word Pairs in Tweet in G3:
[407] gotoトラベルが原因だった,感染研の黒田博士らのゲノム解析では [407] 感染研の黒田博士らのゲノム解析では,センザンコウ由来の配列に近いb1系統が８月の波から [407] センザンコウ由来の配列に近いb1系統が８月の波から,年末年始ピークに拡散して行ったことを示す [407] 年末年始ピークに拡散して行ったことを示す,脇田所長がいかに隠秘しようともデータはgo [407] 脇田所長がいかに隠秘しようともデータはgo,toイート [406] masaru_kaneko,gotoトラベルが原因だった [406] toイート,トラベルからの拡散であ Top Word Pairs in Tweet in G4:
[131] covid,19 [25] 2019,ncov [16] chadox1,ncov [16] ncov,19 [15] hashtag,2020 [15] 2020,#fwn [15] #fwn,#freeworldnews [15] #freeworldnews,#today [14] 19,vaccine [13] learn,more Top Word Pairs in Tweet in G5:
[149] 濃厚接触者の定義,whoや米cdcの定義は [149] whoや米cdcの定義は,マスク着用関係なく [149] マスク着用関係なく,合計15分以上近距離としている [149] 合計15分以上近距離としている,一方 [149] 一方,日本ではマスク着用で接触者でないとしている [148] yasuharutokuda,濃厚接触者の定義 [148] 日本ではマスク着用で接触者でないとしている,マスクしていると長時間三密でも接触者 [58] covid,19 [56] 多くの人がマスクをしている現在では,換気不十分な環境下におけるエアロゾル感染が主要経路になっている可能性すらあると個人的には思っています [56] 換気不十分な環境下におけるエアロゾル感染が主要経路になっている可能性すらあると個人的には思っています,covid Top Word Pairs in Tweet in G6:
[137] 10th,time [137] time,don [137] don,repeat [137] repeat,covid [137] covid,test [137] test,once [137] once,remain [137] remain,months [137] months,mean [137] mean,reinfection Top Word Pairs in Tweet in G7:
[145] live,#florida [145] #florida,#covid19 [145] #covid19,nerv [145] nerv,ous [145] ous,america's [145] america's,variants [145] variants,central [144] laurie_garrett,live [14] very,hard [14] hard,see Top Word Pairs in Tweet in G8:
[71] mon,florida [71] florida,don [71] don,wanna [71] wanna,epidemiologist [71] epidemiologist,dude [71] dude,remind [71] remind,govrondesantis [71] govrondesantis,daily [71] daily,civic [70] drericding,mon Top Word Pairs in Tweet in G9:
[52] frente,#covid19 [31] medidas,contención [31] contención,frente [31] #covid19,activas [31] activas,cc [30] mapa,interactivo [30] interactivo,sanidadgob [30] sanidadgob,puedes [30] puedes,consultar [30] consultar,medidas Top Word Pairs in Tweet in G10:
[25] har,tillfrisknat [20] nmimr_ug,giga_uliege [19] gisaid,nmimr_ug [19] #covid19,deaths [18] cdts_fiocruz,inscolombia [17] giga_uliege,cdts_fiocruz [17] dear,global [17] global,#ausopen [17] #ausopen,viewers [17] viewers,australia Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: