The graph represents a network of 5,909 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 Thursday, 26 March 2020 at 08:12 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 24-minute period from Tuesday, 24 March 2020 at 08:01 UTC to Wednesday, 25 March 2020 at 10:26 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 : 5909
Unique Edges : 6061
Edges With Duplicates : 690
Total Edges : 6751
Number of Edge Types : 4
Replies to : 464
Mentions : 831
MentionsInRetweet : 3879
Tweet : 1577
Self-Loops : 1577
Reciprocated Vertex Pair Ratio : 0.00719424460431655
Reciprocated Edge Ratio : 0.0142857142857143
Connected Components : 1751
Single-Vertex Connected Components : 988
Maximum Vertices in a Connected Component : 777
Maximum Edges in a Connected Component : 1124
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.571519
Graph Density : 0.000140359432434578
Modularity : 0.803905
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 5,909 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 Thursday, 26 March 2020 at 08:12 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 24-minute period from Tuesday, 24 March 2020 at 08:01 UTC to Wednesday, 25 March 2020 at 10:26 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:
[691] 2019,ncov [413] sa,ncov [373] ncov,coronavirus [370] possible,origins [370] origins,2019 [366] 論文はその後,ほどなくして削除された [366] coronavirus,の日本語訳した全文を掲載する [364] の日本語訳した全文を掲載する,失踪した中国人研究者の [363] ほどなくして削除された,そして [363] そして,教授らも消息を絶ってしまった Top Word Pairs in Tweet in G1:
[147] 2019,ncov [119] covid,19 [94] sa,ncov [78] ng,ncov [67] coronavirus,2019 [59] #coronavirus,#covid19 [51] nuevo,coronavirus [49] 19,equipos [49] equipos,protección [49] protección,individual Top Word Pairs in Tweet in G2:
[362] 論文はその後,ほどなくして削除された [362] ほどなくして削除された,そして [362] そして,教授らも消息を絶ってしまった [362] 教授らも消息を絶ってしまった,消された論文 [362] 消された論文,である [362] である,possible [362] possible,origins [362] origins,2019 [362] 2019,ncov [362] ncov,coronavirus Top Word Pairs in Tweet in G3:
[251] clear,evidence [250] evidence,human [250] human,human [250] human,transmission [249] chinese,authorities [247] authorities,found [247] found,clear [243] preliminary,investigations [243] investigations,conducted [243] conducted,chinese Top Word Pairs in Tweet in G4:
[52] covid,19 [41] higher,risk [40] medical,conditions [36] yourself,others [36] coronavirus,disease [36] disease,2019 [35] spread,#covid19 [33] underlying,medical [32] people,age [32] age,serious Top Word Pairs in Tweet in G5:
[66] #coronavirus,és [65] contenir,#coronavirus [65] és,persones [65] persones,vulnerables [65] vulnerables,els [64] salutcat,contenir [64] els,centre [53] sars,cov [45] #coronavirus,sars [33] només,amb Top Word Pairs in Tweet in G6:
[176] pag,ako [176] ako,nag [176] nag,positive [176] positive,sa [176] sa,ncov [176] ncov,nako [176] nako,lalaban [175] jolskyut,pag Top Word Pairs in Tweet in G7:
[120] 코로나바이러스감염증,19 [111] 일상으로,돌아갈 [111] 돌아갈,수 [111] 수,있도록 [88] #3월_25일_0시_기준,코로나바이러스감염증 [88] 19,국내발생현황입니다 [88] 국내발생현황입니다,고강도 [88] 고강도,사회적 [88] 사회적,거리두기에 [88] 거리두기에,많은 Top Word Pairs in Tweet in G8:
[111] número,casos [111] casos,confirmados [111] confirmados,coronavirus [111] coronavirus,23 [111] 23,marzo [111] marzo,san [111] san,diego [111] diego,california [111] california,230 [111] 230,tijuana Top Word Pairs in Tweet in G9:
[98] fuentes,oficiales [84] consulta,fuentes [83] #estevirusloparamosunidos,paramos [83] paramos,compartes [83] compartes,información [83] información,falsa [83] falsa,#stopbulos [83] #stopbulos,consulta [83] guardiacivil,#estevirusloparamosunidos [14] buscas,respuestas Top Word Pairs in Tweet in G10:
[20] we've,updated [18] nextstrain,we've [15] nextstrain,thanks [14] we've,added [13] #sarscov2,#hcov19 [12] updated,129 [12] 129,#sarscov2 [12] #hcov19,genomes [12] genomes,submitted [12] submitted,gisaid Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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 G4:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: