The graph represents a network of 7,806 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, 02 March 2021 at 10:44 UTC.
The requested start date was Tuesday, 02 March 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, 21-hour, 12-minute period from Thursday, 25 February 2021 at 16:42 UTC to Monday, 01 March 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 : 7806
Unique Edges : 3240
Edges With Duplicates : 12956
Total Edges : 16196
Number of Edge Types : 5
Retweet : 5758
MentionsInRetweet : 6957
Tweet : 1154
Replies to : 637
Mentions : 1690
Self-Loops : 1181
Reciprocated Vertex Pair Ratio : 0.00467059980334317
Reciprocated Edge Ratio : 0.00929777342794226
Connected Components : 947
Single-Vertex Connected Components : 383
Maximum Vertices in a Connected Component : 4835
Maximum Edges in a Connected Component : 11392
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.171723
Graph Density : 0.000134163129168696
Modularity : 0.492653
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,806 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, 02 March 2021 at 10:44 UTC.
The requested start date was Tuesday, 02 March 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, 21-hour, 12-minute period from Thursday, 25 February 2021 at 16:42 UTC to Monday, 01 March 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:
[1646] guidance,schools [1641] cdc,released [1635] indoor,air [1633] air,guidance [1631] opening,windows [1631] windows,using [1631] using,portable [1631] portable,air [1630] released,indoor [1630] schools,#covid19 Top Word Pairs in Tweet in G1:
[1571] cdc,released [1567] indoor,air [1566] air,guidance [1564] guidance,schools [1563] huge,cdc [1563] released,indoor [1563] schools,#covid19 [1563] #covid19,emphasize [1563] emphasize,opening [1563] opening,windows Top Word Pairs in Tweet in G2:
[223] learn,more [200] stop,pandemic [199] help,stop [198] pandemic,learn [196] use,tools [196] tools,available [196] available,help [196] more,#covid19 [195] important,everyone [195] everyone,use Top Word Pairs in Tweet in G3:
[151] covid,19 [28] noves,mesures [27] 2019,ncov [22] 19,vaccines [21] més,informació [18] 19,vaccine [16] har,tillfrisknat [15] learn,more [14] mesures,contenció [13] hashtag,2020 Top Word Pairs in Tweet in G4:
[312] 国立感染症研究所が,国内での新型コロナワクチンの接種開始にあたり [312] 国内での新型コロナワクチンの接種開始にあたり,現在得られている知見の概要をまとめています [312] 現在得られている知見の概要をまとめています,専門的ですが [312] 専門的ですが,ワクチンの臨床試験の結果や変異株に対する有効性などがまとめられています [312] ワクチンの臨床試験の結果や変異株に対する有効性などがまとめられています,新型コロナワクチン [311] kantei_vaccine,国立感染症研究所が [11] see,status [11] status,covid [11] covid,cases [11] cases,pandemic Top Word Pairs in Tweet in G5:
[58] frente,#covid19 [48] espacios,cerrados [39] atención,nuevas [39] nuevas,medidas [39] medidas,seguridad [39] seguridad,prevención [39] prevención,frente [39] #covid19,aulas [39] aulas,recomienda [39] recomienda,ventilación Top Word Pairs in Tweet in G6:
[111] #covid19,vaccines [109] vaccines,become [109] become,available [109] available,helpful [109] helpful,know [109] know,facts [109] facts,vaccination [109] vaccination,find [109] find,more [109] more,vaccine Top Word Pairs in Tweet in G7:
[327] #新型コロナウイルス,感染症情報 [321] 引き続き,感染症対策にご協力をお願いします [316] ibaraki_kouhou,#新型コロナウイルス [118] 感染症対策にご協力をお願いします,#いばらき [113] 感染症情報,2月28日 [113] 2月28日,本日の新規陽性者数 [113] 本日の新規陽性者数,15人 [113] 15人,本日の死亡者数 [113] 本日の死亡者数,3人 [113] 3人,本日の退院等回復者数 Top Word Pairs in Tweet in G8:
[107] ojpac,flyfrontier [107] flyfrontier,both [107] both,cdc [107] cdc,frontiers [107] frontiers,covid [107] covid,guidelines [107] guidelines,explicitly [107] explicitly,state [107] state,children [107] children,under Top Word Pairs in Tweet in G9:
[90] ventilation,schools [37] schools,child [37] child,care [37] care,programs [36] covid,19 [36] #cdc,update [36] update,today [36] today,26 [36] 26,ventilation [36] programs,looks Top Word Pairs in Tweet in G10:
[62] ministerio,salud [61] hilo,balance [61] balance,diario [61] diario,#covid_19 [61] febrero,ministerio [61] salud,informa [61] informa,casos [61] casos,totales [61] totales,confirmados [59] ministeriosalud,hilo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: