The graph represents a network of 5,727 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, 07 May 2020 at 08:25 UTC.
The requested start date was Wednesday, 06 May 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, 15-hour, 21-minute period from Monday, 04 May 2020 at 08:38 UTC to Wednesday, 06 May 2020 at 00:00 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 : 5727
Unique Edges : 2530
Edges With Duplicates : 8164
Total Edges : 10694
Number of Edge Types : 5
Retweet : 3760
MentionsInRetweet : 4238
Tweet : 910
Mentions : 1267
Replies to : 519
Self-Loops : 931
Reciprocated Vertex Pair Ratio : 0.00481749119881416
Reciprocated Edge Ratio : 0.00958878849345381
Connected Components : 938
Single-Vertex Connected Components : 402
Maximum Vertices in a Connected Component : 1893
Maximum Edges in a Connected Component : 4260
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.94443
Graph Density : 0.00016537165686543
Modularity : 0.520889
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,727 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, 07 May 2020 at 08:25 UTC.
The requested start date was Wednesday, 06 May 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, 15-hour, 21-minute period from Monday, 04 May 2020 at 08:38 UTC to Wednesday, 06 May 2020 at 00:00 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:
[327] cloth,face [327] face,covering [311] confirmados,pcr [308] primer,caso [308] caso,inicial [308] inicial,actualizados [305] #covid19,españa [304] datos,#covid19 [304] actualizados,hoy [303] españa,primer Top Word Pairs in Tweet in G1:
[252] face,covering [245] cloth,face [226] help,protect [219] wear,cloth [219] covering,help [219] help,keep [217] #covid19,help [215] protect,those [215] those,around [214] around,#covid19 Top Word Pairs in Tweet in G2:
[302] actualizados,hoy [302] confirmados,pcr [301] datos,#covid19 [301] #covid19,españa [301] españa,primer [301] primer,caso [301] caso,inicial [301] inicial,actualizados [299] hoy,mayo [299] mayo,confirmados Top Word Pairs in Tweet in G3:
[71] covid,19 [50] 2019,ncov [17] sa,ncov [16] abs,cbn [13] 0시,기준 [11] coronavirus,2019 [11] face,covering [10] cloth,face [10] ng,ncov [9] coronavirus,covid Top Word Pairs in Tweet in G4:
[247] #新型コロナウイルス,感染症情報 [244] ibaraki_kouhou,#新型コロナウイルス [132] 感染症情報,5月4日 [132] 5月4日,県内で [132] 県内で,新たに2名 [132] 新たに2名,166例目 [132] 166例目,167例目の新型コロナウイルス感染症患者が確認されました [132] 167例目の新型コロナウイルス感染症患者が確認されました,また [132] また,同感染症患者で [132] 同感染症患者で,県内の医療機関に入院されていた方が1名 Top Word Pairs in Tweet in G5:
[225] แล,ว [224] ม,ว [224] ว,คซ [224] คซ,นโคว [224] นโคว,ด [224] ด,19 [224] 19,เป [224] เป,นร [224] นร,อยส [224] อยส,ตรท Top Word Pairs in Tweet in G6:
[11] re,looking [11] looking,provisional [11] adopted,tentatively [10] tentatively,conditional [10] covid,19 [9] april,25 [8] provisional,meaning [8] meaning,adopted [7] cdc,website [6] conditional,number Top Word Pairs in Tweet in G7:
[100] 県hpでは,nttドコモの提供により [100] nttドコモの提供により,県内11エリアの人流 [100] 県内11エリアの人流,人出 [100] 人出,の増減率を公開しています [96] 3時点の県内11エリアの人の流れを公開しています,県hpでは [96] の増減率を公開しています,曜日別など詳細はこちら [96] 曜日別など詳細はこちら,県hp [95] hiroshima_pref,3時点の県内11エリアの人の流れを公開しています [95] 県hp,誰 [67] 手洗いは一人ひとりが実践できる予防策,外出自粛中でも Top Word Pairs in Tweet in G8:
[107] 新型コロナウイルスの感染拡大防止のために発表された行動指針,新しい生活様式 [107] 新しい生活様式,40以上の注意事項が並んでいて [107] 40以上の注意事項が並んでいて,できっこない [107] できっこない,国家による統制か [107] 国家による統制か,政府は [107] 政府は,という感想が聞こえてきそうですが [107] という感想が聞こえてきそうですが,ちなみにこれ [106] shinagawajp,新型コロナウイルスの感染拡大防止のために発表された行動指針 [106] ちなみにこれ,オーストラリア保健省のガイド [19] たとえばこれもnextstrainで明らかになっていますが,シアトルのゲノム解析では Top Word Pairs in Tweet in G9:
[26] clear,evidence [25] preliminary,investigations [25] investigations,conducted [25] conducted,chinese [25] chinese,authorities [25] authorities,found [25] found,clear [25] evidence,human [25] human,human [25] human,transmission Top Word Pairs in Tweet in G10:
[53] アメリカ,消毒や清掃ガイダンス [53] 消毒や清掃ガイダンス,ビジネス向け感染予防策 [52] ayako700,アメリカ [6] yamakai74,非常に参考になりました [6] 非常に参考になりました,公開ありがとうございます [6] 公開ありがとうございます,昨年12月31日 [6] 昨年12月31日,中国当局 [6] 中国当局,武漢市の肺炎症例をwhoに報告 [6] 武漢市の肺炎症例をwhoに報告,本年1月7 [6] 本年1月7,日 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
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: