The graph represents a network of 7,920 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, 23 September 2020 at 08:45 UTC.
The requested start date was Wednesday, 23 September 2020 at 00:01 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 2-day, 1-hour, 26-minute period from Sunday, 20 September 2020 at 22:34 UTC to Wednesday, 23 September 2020 at 00:00 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 : 7920
Unique Edges : 4455
Edges With Duplicates : 12518
Total Edges : 16973
Number of Edge Types : 5
Tweet : 1142
Retweet : 5774
MentionsInRetweet : 7935
Replies to : 651
Mentions : 1471
Self-Loops : 1169
Reciprocated Vertex Pair Ratio : 0.00351288056206089
Reciprocated Edge Ratio : 0.00700116686114352
Connected Components : 992
Single-Vertex Connected Components : 451
Maximum Vertices in a Connected Component : 4975
Maximum Edges in a Connected Component : 12621
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.940355
Graph Density : 0.000150306576307334
Modularity : 0.520195
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,920 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, 23 September 2020 at 08:45 UTC.
The requested start date was Wednesday, 23 September 2020 at 00:01 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 2-day, 1-hour, 26-minute period from Sunday, 20 September 2020 at 22:34 UTC to Wednesday, 23 September 2020 at 00:00 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:
[1249] covid,19 [570] cdc,usa [566] importante,covid [565] extremadamente,importante [565] importante,cdc [565] usa,acaba [565] acaba,reconocer [565] reconocer,transmisión [565] transmisión,importante [564] jljcolorado,extremadamente Top Word Pairs in Tweet in G1:
[153] covid,19 [136] cdcgov,website [117] wash,hands [112] stay,feet [105] hands,watch [105] watch,distance [105] distance,stay [102] positive,#covid19 [91] huge,big [91] big,wtf Top Word Pairs in Tweet in G2:
[283] 2019,ncov [280] recomendaciones,población [280] población,acerca [280] acerca,coronavirus [280] coronavirus,2019 [273] somos_ejercito,recomendaciones [273] ncov,organización [273] organización,mundial [273] mundial,salud [208] extraordinary,see Top Word Pairs in Tweet in G3:
[550] covid,19 [543] extremadamente,importante [543] importante,cdc [543] cdc,usa [543] usa,acaba [543] acaba,reconocer [543] reconocer,transmisión [543] transmisión,importante [543] importante,covid [542] jljcolorado,extremadamente Top Word Pairs in Tweet in G4:
[182] covid,cases [182] cases,increase [132] covid,19 [120] 2019,ncov [92] recombinomics,inc [91] ncov,recombinomics [25] coronavirus,spreads [24] spreads,cdc [22] learn,more [18] protect,yourself Top Word Pairs in Tweet in G5:
[220] cdcによる,covid [220] covid,19の広がり方 [220] 19の広がり方,汚染された物を触って [220] 汚染された物を触って,その手で自分の目 [220] その手で自分の目,口 [220] 口,鼻を触るというのは主な感染ルートではなく [220] 鼻を触るというのは主な感染ルートではなく,dropletやaerosolが直接 [220] dropletやaerosolが直接,鼻 [220] 鼻,口 [220] 口,気道につくのが多い Top Word Pairs in Tweet in G6:
[114] sars,cov [113] juliettekayyem,confirmed [113] confirmed,here's [113] here's,cdc [113] cdc,used [113] used,sars [113] cov,transmitted [113] transmitted,aerosols [113] aerosols,censored [112] barney1776,juliettekayyem Top Word Pairs in Tweet in G7:
[105] cdc,guidance [105] guidance,update [105] update,saying [105] saying,draft [105] draft,posted [105] posted,error [105] error,interesting [105] interesting,see [105] see,final [104] abraarkaran,cdc Top Word Pairs in Tweet in G8:
[117] datos,#covid19 [114] #covid19,españa [61] actualización,datos [61] materiales,información [61] información,#coronavirus [58] españa,materiales [56] españa,primer [56] primer,caso [56] caso,inicial [56] inicial,actualizados Top Word Pairs in Tweet in G9:
[24] spanish,people [24] people,translate [24] translate,understand [24] understand,madrid [24] madrid,apparently [24] apparently,showing [24] showing,icu [24] icu,think [24] think,table [23] fatemperor,spanish Top Word Pairs in Tweet in G10:
[167] christmas,day [167] day,dad [167] dad,hands [167] hands,present [167] present,certainly [167] certainly,feels [167] feels,astrazeneca's [167] astrazeneca's,chadox1 [167] chadox1,ncov [167] ncov,19 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 G6:
Top Replied-To in G8:
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: