The graph represents a network of 5,739 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 Friday, 20 March 2020 at 09:03 UTC.
The requested start date was Friday, 20 March 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, 0-hour, 52-minute period from Wednesday, 18 March 2020 at 09:33 UTC to Thursday, 19 March 2020 at 10:26 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 : 5739
Unique Edges : 5582
Edges With Duplicates : 848
Total Edges : 6430
Number of Edge Types : 4
Tweet : 1512
Replies to : 461
MentionsInRetweet : 3818
Mentions : 639
Self-Loops : 1512
Reciprocated Vertex Pair Ratio : 0.00842572062084257
Reciprocated Edge Ratio : 0.0167106420404573
Connected Components : 1758
Single-Vertex Connected Components : 963
Maximum Vertices in a Connected Component : 940
Maximum Edges in a Connected Component : 1272
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.780272
Graph Density : 0.000138109542731694
Modularity : 0.781063
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 5,739 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 Friday, 20 March 2020 at 09:03 UTC.
The requested start date was Friday, 20 March 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, 0-hour, 52-minute period from Wednesday, 18 March 2020 at 09:33 UTC to Thursday, 19 March 2020 at 10:26 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:
[462] ncov,miss [441] hate,ncov [397] miss,bb [387] itsmeaiyzha,hate [356] 2019,ncov [269] prevent,spread [264] help,prevent [231] spread,#covid19 [220] covid,19 [209] call,doctor Top Word Pairs in Tweet in G1:
[127] sa,ncov [72] 2019,ncov [62] dahil,sa [62] ncov,yan [60] ng,ncov [36] covid,19 [26] tong,ncov [23] ncov,19 [20] sa,bahay [19] ncov,sa Top Word Pairs in Tweet in G2:
[247] prevent,spread [246] help,prevent [223] spread,#covid19 [207] everyone,help [206] call,doctor [206] close,contact [205] #covid19,call [205] doctor,develop [205] develop,symptoms [205] symptoms,close Top Word Pairs in Tweet in G3:
[385] hate,ncov [384] ncov,miss [384] miss,bb [383] itsmeaiyzha,hate [4] mahuman,raning [4] raning,ncov [4] ncov,mulaag [4] mulaag,jud [4] jud,kog [4] kog,taman Top Word Pairs in Tweet in G4:
[192] clear,evidence [192] evidence,human [192] human,human [192] human,transmission [184] preliminary,investigations [184] investigations,conducted [184] conducted,chinese [184] chinese,authorities [184] authorities,found [184] found,clear Top Word Pairs in Tweet in G5:
[122] shortage,face [122] face,masks [122] masks,severe [122] severe,cdc [122] cdc,advising [122] advising,nurses [122] nurses,health [122] health,care [122] care,providers [121] geoffrbennett,shortage Top Word Pairs in Tweet in G6:
[111] frens,#coronacoin [110] #coronacoin,#coronatoken [96] old,domain [94] finally,old [94] domain,back [94] back,frens [94] frens,never [94] never,stop [94] stop,frens [93] corona_token,finally Top Word Pairs in Tweet in G7:
[94] awit,ncov [94] ncov,gusto [94] gusto,ko [94] ko,makasama [94] makasama,mga [94] mga,kaibigan [94] kaibigan,ko [93] hailrosie,awit [7] matatapos,din [7] din,ang Top Word Pairs in Tweet in G8:
[67] 자세히,보기 [66] #코로나19_중앙재난안전대책본부,3월 [66] 11시,정례브리핑 [66] 보도자료,자세히 [62] mohwpr,#코로나19_중앙재난안전대책본부 [43] 지원,및 [43] 3월,19일 [43] 19일,11시 [36] 코로나바이러스감염증,19 [36] 19,국내 Top Word Pairs in Tweet in G9:
[28] sars,cov [23] tothom,গ [23] গ,হ [23] হ,অব_ [23] অব_,কর [23] কর,বল [23] বল,ত [22] fet,romandre [22] romandre,casa [22] casa,durant Top Word Pairs in Tweet in G10:
[31] #sarscov2,#hcov19 [30] #covid19,#sarscov2 [29] easier,see [29] see,information [29] information,travel [29] travel,history [29] history,#covid19 [29] #hcov19,sequences [29] sequences,nextstrain [28] nextstrain,easier Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: