The graph represents a network of 5,535 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, 05 May 2020 at 09:47 UTC.
The requested start date was Tuesday, 05 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 3-day, 7-hour, 34-minute period from Friday, 01 May 2020 at 04:56 UTC to Monday, 04 May 2020 at 12:30 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 : 5535
Unique Edges : 2277
Edges With Duplicates : 8600
Total Edges : 10877
Number of Edge Types : 5
Retweet : 3862
MentionsInRetweet : 4342
Tweet : 908
Mentions : 1337
Replies to : 428
Self-Loops : 934
Reciprocated Vertex Pair Ratio : 0.00659506312417562
Reciprocated Edge Ratio : 0.0131037064769749
Connected Components : 852
Single-Vertex Connected Components : 387
Maximum Vertices in a Connected Component : 2558
Maximum Edges in a Connected Component : 6223
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.30841
Graph Density : 0.000174400250206574
Modularity : 0.506255
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,535 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, 05 May 2020 at 09:47 UTC.
The requested start date was Tuesday, 05 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 3-day, 7-hour, 34-minute period from Friday, 01 May 2020 at 04:56 UTC to Monday, 04 May 2020 at 12:30 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:
[304] confirmados,pcr [297] primer,caso [297] caso,inicial [297] inicial,actualizados [296] #covid19,españa [295] saludpublicaes,datos [295] datos,#covid19 [294] actualizados,hoy [293] españa,primer [292] mayo,confirmados Top Word Pairs in Tweet in G1:
[236] protect,yourself [210] yourself,#covid19 [207] cdcgov,protect [173] #covid19,getting [173] getting,gas [173] gas,use [173] use,disinfecting [173] disinfecting,wipes [173] wipes,handles [173] handles,buttons Top Word Pairs in Tweet in G2:
[291] saludpublicaes,datos [291] confirmados,pcr [290] #covid19,españa [290] actualizados,hoy [289] datos,#covid19 [289] españa,primer [289] primer,caso [289] caso,inicial [289] inicial,actualizados [286] mayo,confirmados Top Word Pairs in Tweet in G3:
[64] 2019,ncov [61] covid,19 [33] coronavirus,2019 [15] novel,coronavirus [11] ncov,19 [10] 新型インフルエンザ等対策特別措置法に基づく施設の使用停止,休業 [10] 休業,の要請を行った施設について [9] ダイヤモンドプリンセス号環境検査に関する報告,要旨 [8] kung,walang [8] york,times Top Word Pairs in Tweet in G4:
[226] #新型コロナウイルス,感染症情報 [223] ibaraki_kouhou,#新型コロナウイルス [222] 県内で,新たに2名 [222] また,同感染症患者で [222] 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 [222] 県内の医療機関に入院されていた方が1名,お亡くなりになりました [220] お亡くなりになりました,県ホームペ [133] 感染症情報,5月4日 [133] 5月4日,県内で [133] 新たに2名,166例目 Top Word Pairs in Tweet in G5:
[200] nhk,クルーズ船調査 [200] クルーズ船調査,無症状の人の部屋からも新型コロナ遺伝子 [200] 無症状の人の部屋からも新型コロナ遺伝子,これ [200] これ,報告 [200] 報告,要旨 [200] 要旨,が感染研のwebサイトに掲載されています [200] が感染研のwebサイトに掲載されています,が [200] が,内容とは別に気になるのが [200] 内容とは別に気になるのが,なぜ今になって発表 [199] masakioshikawa,nhk Top Word Pairs in Tweet in G6:
[177] แล,ว [176] ม,ว [176] ว,คซ [176] คซ,นโคว [176] นโคว,ด [176] ด,19 [176] 19,เป [176] เป,นร [176] นร,อยส [176] อยส,ตรท Top Word Pairs in Tweet in G7:
[7] effing,kidding [7] kidding,#contacttracers [7] #contacttracers,check [7] check,doing [7] doing,help [7] help,ensure [7] ensure,safe [7] safe,sustainable [6] death,count [6] april,25 Top Word Pairs in Tweet in G8:
[126] 県hpでは,nttドコモの提供により [94] nttドコモの提供により,県内11エリアの人流 [94] 県内11エリアの人流,人出 [94] 人出,の増減率を公開しています [87] 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 [87] の増減率を公開しています,曜日別など詳細はこちら [87] 曜日別など詳細はこちら,県hp [86] 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 [86] 県hp,誰 [56] 県内の,#新型コロナウイルス感染症 Top Word Pairs in Tweet in G9:
[3] hurbydurby,persevereever [3] persevereever,rganley [3] rganley,donnnie [3] donnnie,hildolfr3 [3] hildolfr3,penguin_syls [3] penguin_syls,black_is_back5 [3] black_is_back5,phnhdah [3] phnhdah,philipemskinne1 [3] philipemskinne1,shav1962 [3] shav1962,mna__81 Top Word Pairs in Tweet in G10:
[131] wear,mask [129] #letsstaysafe,healthy [129] healthy,need [129] need,wear [129] mask,taking [129] taking,care [129] care,person [129] person,suspected [129] suspected,2019 [107] silent__heartt,#letsstaysafe Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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: