The graph represents a network of 17,462 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 27 February 2020 at 17:45 UTC.
The tweets in the network were tweeted over the 16-hour, 35-minute period from Wednesday, 26 February 2020 at 23:57 UTC to Thursday, 27 February 2020 at 16:33 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 : 17462
Unique Edges : 18938
Edges With Duplicates : 3066
Total Edges : 22004
Number of Edge Types : 5
Retweet : 8432
MentionsInRetweet : 7030
Tweet : 2912
Mentions : 1873
Replies to : 1757
Self-Loops : 2973
Reciprocated Vertex Pair Ratio : 0.00472772841193894
Reciprocated Edge Ratio : 0.00941096434038211
Connected Components : 2741
Single-Vertex Connected Components : 1502
Maximum Vertices in a Connected Component : 10123
Maximum Edges in a Connected Component : 13241
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.248295
Graph Density : 5.78509991384763E-05
Modularity : 0.774143
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 17,462 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 27 February 2020 at 17:45 UTC.
The tweets in the network were tweeted over the 16-hour, 35-minute period from Wednesday, 26 February 2020 at 23:57 UTC to Thursday, 27 February 2020 at 16:33 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 : TwitterSearch
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:
[2802] more,info [2409] people,always [2405] immediate,risk [2383] risk,low [2382] american,people [2378] realdonaldtrump,made [2378] made,clear [2378] clear,tonight [2378] tonight,beginning [2378] beginning,safety Top Word Pairs in Tweet in G1:
[2500] more,info [2106] immediate,risk [2106] risk,low [2105] realdonaldtrump,made [2105] made,clear [2105] clear,tonight [2105] tonight,beginning [2105] beginning,safety [2105] safety,american [2105] american,people Top Word Pairs in Tweet in G2:
[1149] spread,#covid19 [1037] prevent,spread [1028] spread,respiratory [1023] respiratory,viruses [1023] washing,hands [1010] community,spread [1009] measures,prevent [1009] home,sick [1008] staying,home [1007] currently,reported Top Word Pairs in Tweet in G3:
[405] 2019,ncov [336] covid,19 [158] coronavirus,disease [158] disease,2019 [158] 2019,covid [106] 19,cdcgov [84] coronavirus,2019 [72] coronavirus,covid [68] novel,coronavirus [61] sa,ncov Top Word Pairs in Tweet in G4:
[1368] secazar,provides [1368] provides,update [1368] update,confirmed [1368] confirmed,coronavirus [1368] coronavirus,cases [1368] cases,united [1368] united,states [1368] states,americans [1368] americans,prepare [1368] prepare,keep Top Word Pairs in Tweet in G5:
[680] acting,ncov [680] ncov,bomb [650] covid,19 [649] 82,daegu [649] daegu,shincheonji [649] shincheonji,cultists [649] cultists,showed [649] showed,symptoms [649] symptoms,tested [649] tested,positive Top Word Pairs in Tweet in G6:
[431] この論文を見る限り,2019 [431] 2019,ncov感染で特に危険なのはards [431] ncov感染で特に危険なのはards,急性呼吸窮迫症候群 [431] 急性呼吸窮迫症候群,となる場合 [431] となる場合,ardsは高熱が出るとも限らず [431] ardsは高熱が出るとも限らず,発症すると3 [431] 発症すると3,7日で急速に悪化する [431] 7日で急速に悪化する,この場合 [431] この場合,4日間の待機は非常に危うい [69] 2019,ncovについてのメモとリンク Top Word Pairs in Tweet in G7:
[212] 2019,ncov [58] coronavirus,2019 [58] 보도자료,바로보기 [58] 바로보기,co [58] co,9ekwsxedst [58] 9ekwsxedst,#질병관리본부 [58] #질병관리본부,#코로나19 [58] #코로나19,#보건복지부 [58] #보건복지부,#1339콜센터 [51] professor,mick Top Word Pairs in Tweet in G8:
[395] 자세히,보기 [225] #코로나19_중앙재난안전대책본부,2월 [225] 11시,정례브리핑 [225] 관련,보도자료 [225] 보도자료,자세히 [170] 코로나바이러스감염증,19 [170] 19,국내 [170] 국내,발생 [170] 발생,현황입니다 [170] 발생,현황 Top Word Pairs in Tweet in G9:
[418] #โคโรนาไวร,ส [391] องแล,บน [377] า,#โคโรนาไวร [361] ncov,2019 [320] เห,นบทความของ [320] นบทความของ,daily [320] daily,mail [320] mail,ท [320] ท,ด [320] ด,พยายามช Top Word Pairs in Tweet in G10:
[357] south,korea [356] coronavirus,tests [356] tests,given [356] given,far [356] far,south [179] united,states [178] korea,56 [178] 56,395 [178] 395,coronavirus [178] coronavirus,test Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G6:
Top Mentioned in G7:
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: