The graph represents a network of 5,970 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 Wednesday, 01 April 2020 at 08:12 UTC.
The requested start date was Wednesday, 01 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, 54-minute period from Monday, 30 March 2020 at 03:13 UTC to Tuesday, 31 March 2020 at 07:08 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 : 5970
Unique Edges : 6356
Edges With Duplicates : 939
Total Edges : 7295
Number of Edge Types : 4
Tweet : 1477
MentionsInRetweet : 4255
Replies to : 566
Mentions : 997
Self-Loops : 1477
Reciprocated Vertex Pair Ratio : 0.00591606581623221
Reciprocated Edge Ratio : 0.0117625436500643
Connected Components : 1625
Single-Vertex Connected Components : 840
Maximum Vertices in a Connected Component : 1749
Maximum Edges in a Connected Component : 2907
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.809531
Graph Density : 0.000152687264995329
Modularity : 0.792265
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,970 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 Wednesday, 01 April 2020 at 08:12 UTC.
The requested start date was Wednesday, 01 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, 54-minute period from Monday, 30 March 2020 at 03:13 UTC to Tuesday, 31 March 2020 at 07:08 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:
[445] covid,19 [363] 2019,ncov [156] evidence,pets [142] sa,ncov [135] during,#covid19 [135] #covid19,outbreak [129] worried,pet [129] pet,during [129] outbreak,evidence [129] pets,sick Top Word Pairs in Tweet in G1:
[110] 2019,ncov [89] covid,19 [78] sa,ncov [43] ng,ncov [23] coronavirus,2019 [21] ncov,yan [20] coronavirus,covid [19] ang,ncov [19] dahil,sa [17] 2020,03 Top Word Pairs in Tweet in G2:
[141] evidence,pets [131] #covid19,outbreak [127] worried,pet [127] pet,during [127] during,#covid19 [127] outbreak,evidence [127] pets,sick [127] sick,virus [127] virus,spread [126] cdcgov,worried Top Word Pairs in Tweet in G3:
[104] #sarscov2,#hcov19 [94] 最新の#covid19,#sarscov2 [94] #hcov19,状況レポートが日本語で利用可能になりました [94] 状況レポートが日本語で利用可能になりました,今週は [94] 今週は,地域ごとにデータを分類しました [94] 地域ごとにデータを分類しました,翻訳してくれtakeshisato [94] 翻訳してくれtakeshisato,tommy_nezy [94] tommy_nezy,fengjun_zhang [93] nextstrain,最新の#covid19 [93] fengjun_zhang,に感謝し Top Word Pairs in Tweet in G4:
[101] investigations,conducted [101] conducted,chinese [101] chinese,authorities [101] authorities,found [101] found,clear [101] clear,evidence [101] evidence,human [101] human,human [101] human,transmission [100] preliminary,investigations Top Word Pairs in Tweet in G5:
[58] lost,money [54] activate,wallet [52] download,app [52] app,start [52] start,earning [52] earning,tfc [52] tfc,tfc [52] tfc,right [52] right,away [52] away,activate Top Word Pairs in Tweet in G6:
[95] 초반엔,신천지 [95] 신천지,핑계라도 [95] 핑계라도,있었지 [95] 있었지,대구는 [95] 대구는,그냥 [95] 그냥,방역의지가 [95] 방역의지가,없는 [95] 없는,듯 [95] 듯,뭐 [95] 뭐,방역 Top Word Pairs in Tweet in G7:
[66] #covid19,global [66] global,problem [66] problem,calling [66] calling,global [66] global,response [66] response,question [66] question,protect [66] protect,global [66] global,#foodsecurity [65] fao,#covid19 Top Word Pairs in Tweet in G8:
[90] co,j6gtajtdjm [89] j6gtajtdjm,#covid19 [88] scavino45,co [3] checks,notes [2] secpompeo,checks [2] notes,february [2] february,7th [2] 7th,already [2] already,evidence [2] evidence,community Top Word Pairs in Tweet in G9:
[71] 코로나바이러스감염증,19 [71] 19,국내 [71] 국내,발생 [71] 발생,현황입니다 [67] #3월_30일_0시_기준,코로나바이러스감염증 [67] 현황입니다,4월 [67] 4월,1일 [67] 1일,0시부터 [67] 0시부터,지역 [67] 지역,국적 Top Word Pairs in Tweet in G10:
[33] #coronavirus,cases [31] covid,19 [30] long,term [30] term,care [30] care,facilities [28] more,400 [28] 400,long [28] facilities,nationwide [28] nationwide,residents [28] residents,infected Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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: