The graph represents a network of 5,729 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, 07 April 2020 at 08:13 UTC.
The requested start date was Tuesday, 07 April 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, 3-hour, 52-minute period from Sunday, 05 April 2020 at 06:33 UTC to Monday, 06 April 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 : 5729
Unique Edges : 6291
Edges With Duplicates : 763
Total Edges : 7054
Number of Edge Types : 4
Tweet : 1147
MentionsInRetweet : 4689
Replies to : 467
Mentions : 751
Self-Loops : 1147
Reciprocated Vertex Pair Ratio : 0.0064343163538874
Reciprocated Edge Ratio : 0.0127863612147043
Connected Components : 1251
Single-Vertex Connected Components : 574
Maximum Vertices in a Connected Component : 2260
Maximum Edges in a Connected Component : 3353
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.047781
Graph Density : 0.000171594631254687
Modularity : 0.796558
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,729 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, 07 April 2020 at 08:13 UTC.
The requested start date was Tuesday, 07 April 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, 3-hour, 52-minute period from Sunday, 05 April 2020 at 06:33 UTC to Monday, 06 April 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:
[634] cloth,face [536] wearing,cloth [530] situación,actual [529] datos,actualizados [529] actualizados,#covid19 [529] #covid19,ccaa [529] ccaa,situación [529] actual,información [523] face,covering [520] sanidadgob,datos Top Word Pairs in Tweet in G1:
[556] cloth,face [502] wearing,cloth [500] face,covering [398] cdc,recommendation [377] help,protect [370] recommendation,wearing [370] covering,help [370] protect,vulnerable [369] #dyk,cdc [369] vulnerable,#covid19 Top Word Pairs in Tweet in G2:
[87] 2019,ncov [62] covid,19 [34] sa,ncov [18] ng,ncov [16] cloth,face [16] coronavirus,2019 [14] ncov,19 [13] face,coverings [13] novel,coronavirus [13] sars,cov Top Word Pairs in Tweet in G3:
[519] datos,actualizados [519] actualizados,#covid19 [519] #covid19,ccaa [519] ccaa,situación [519] situación,actual [519] actual,información [515] sanidadgob,datos [10] información,co [10] menores,fallecido [10] fallecido,víctimas Top Word Pairs in Tweet in G4:
[163] cdc,report [163] report,shows [163] deaths,due [163] due,pneumonia [163] pneumonia,associated [163] associated,flu [163] flu,increased [159] cdc,admits [159] admits,problem [159] problem,cdc Top Word Pairs in Tweet in G5:
[34] preliminary,investigations [34] investigations,conducted [34] conducted,chinese [34] chinese,authorities [34] authorities,found [34] found,clear [34] clear,evidence [34] evidence,human [34] human,human [34] human,transmission Top Word Pairs in Tweet in G6:
[118] 感染研によるイムノクロマト法データを見る限りでは,igm抗体による早期診断は困難でも [118] igm抗体による早期診断は困難でも,igg抗体は [118] igg抗体は,中和抗体かは [118] 中和抗体かは,ですが [118] ですが,疫学調査による職場や地域における感染状況の把握や [118] 疫学調査による職場や地域における感染状況の把握や,医療従事者などの易感染性の一定の指標にはなりうるのではないかと思います [117] koike_akira,感染研によるイムノクロマト法データを見る限りでは Top Word Pairs in Tweet in G7:
[47] #covid19,#sarscov2 [33] nextstrain,thanks [28] gisaid,we've [22] we've,added [22] added,more [22] more,genomes [19] thanks,nyulangone [19] nyulangone,unilj [19] unilj,gisaid [19] genomes,york Top Word Pairs in Tweet in G8:
[81] #estevirusloparamosunidos,paramos [81] paramos,compartes [81] compartes,información [81] información,falsa [81] falsa,#stopbulos [81] #stopbulos,consulta [81] consulta,fuentes [81] fuentes,oficiales [80] guardiacivil,#estevirusloparamosunidos [9] 04,2020 Top Word Pairs in Tweet in G9:
[52] president,realdonaldtrump [50] more,important [50] important,american [50] american,follows [50] follows,president [50] realdonaldtrump,guidelines [50] guidelines,visit [49] mike_pence,more [15] thank,deptofdefense [15] deptofdefense,usacehq Top Word Pairs in Tweet in G10:
[46] しばらくnextstrain見てなかったら,凄いことになってた [46] 凄いことになってた,usが世界最大のクラスターになったことが一目で分かる [45] tjo_datasci,しばらくnextstrain見てなかったら [30] 詳細な情報については,千葉県公式ウェブサイトでご確認ください [27] 新型コロナウイルス感染者情報,4月5日千葉県発表 [27] 4月5日千葉県発表,本日新たに1名の感染者が確認されました [27] 本日新たに1名の感染者が確認されました,市内在住20代女性 [27] 市内在住20代女性,会社員 [27] 会社員,です [27] です,市内在住者25例目 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 G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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 G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: