The graph represents a network of 7,692 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 Sunday, 09 August 2020 at 08:42 UTC.
The requested start date was Sunday, 09 August 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 4-day, 5-hour, 16-minute period from Tuesday, 04 August 2020 at 18:44 UTC to Sunday, 09 August 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 : 7692
Unique Edges : 3674
Edges With Duplicates : 11697
Total Edges : 15371
Number of Edge Types : 5
Mentions : 1612
Retweet : 5246
MentionsInRetweet : 6191
Tweet : 1517
Replies to : 805
Self-Loops : 1559
Reciprocated Vertex Pair Ratio : 0.00460042060988433
Reciprocated Edge Ratio : 0.00915870731388198
Connected Components : 1304
Single-Vertex Connected Components : 595
Maximum Vertices in a Connected Component : 4119
Maximum Edges in a Connected Component : 10334
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.329357
Graph Density : 0.000129193829825745
Modularity : 0.489635
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,692 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 Sunday, 09 August 2020 at 08:42 UTC.
The requested start date was Sunday, 09 August 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 4-day, 5-hour, 16-minute period from Tuesday, 04 August 2020 at 18:44 UTC to Sunday, 09 August 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:
[1649] æ,ÿæÿ [1212] ÿæÿ,ç [1091] ç,æ [1023] åž,ム[965] ãƒ,æ [960] ãƒ,ペã [953] ペã,ム[906] ãƒ,ム[851] æ,æ [766] covid,19 Top Word Pairs in Tweet in G1:
[404] wear,mask [369] masks,one [368] one,powerful [368] powerful,weapons [368] weapons,fight [368] fight,against [366] mask,youâ [352] cdcdirector,masks [341] against,#covid19 [340] wearing,mask Top Word Pairs in Tweet in G2:
[211] covid,19 [108] àª,ઠ[52] ãƒ,ム[51] 2019,ncov [45] learn,more [32] æ,ÿæÿ [25] ç,æ [25] æ,æ [24] åž,ム[22] sars,cov Top Word Pairs in Tweet in G3:
[928] æ,ÿæÿ [928] ÿæÿ,ç [629] åž,ム[629] ãƒ,ペã [629] ペã,ム[624] ãƒ,æ [620] ç,æ [611] ºèª,œã [609] œç,ºèª [324] æ,åž Top Word Pairs in Tweet in G4:
[278] wear,mask [79] spread,#covid19 [76] risk,#covid19 [76] mask,wear [76] mask,public [76] public,setting [76] setting,especially [76] especially,difficult [76] difficult,stay [76] masks,help Top Word Pairs in Tweet in G5:
[240] very,interesting [240] interesting,#covid19 [240] #covid19,daily [240] daily,reports [240] reports,analyses [240] analyses,spanish [240] spanish,gov [240] gov,one [240] one,intriguing [240] intriguing,slides Top Word Pairs in Tweet in G6:
[100] datos,#covid19 [89] #covid19,espaã [60] formulario,control [60] control,sanitario [59] obligatorio,cumplimentar [59] cumplimentar,formulario [59] puedes,rellenarlo [51] primer,caso [51] caso,inicial [51] inicial,actualizados Top Word Pairs in Tweet in G7:
[9] last,month [9] month,cdc [9] cdc,published [9] published,mitigating [9] mitigating,staff [9] staff,shortages [9] shortages,during [9] during,#covid19 [9] #covid19,healthcare [9] healthcare,workforce Top Word Pairs in Tweet in G8:
[375] ãƒ,ム[166] æ,æ [129] æ,ÿæÿ [103] æ,ç [100] åž,ム[87] ç,ç [83] ç,šã [83] œã,æ [82] ˆã,ム[81] ÿæÿ,æ Top Word Pairs in Tweet in G9:
[28] mike,pompeo [27] listen,nervous [27] nervous,mike [27] pompeo,freudian [27] freudian,slip [25] slip,live [23] right,covid19 [23] covid19,listen [21] laallin,qanonyahshua [21] qanonyahshua,right Top Word Pairs in Tweet in G10:
[41] daily,infographic [41] infographic,provides [41] provides,quick [41] quick,view [41] view,current [41] current,coronavirus [41] coronavirus,#covid19 [41] #covid19,situation [41] situation,australia [38] healthgovau,daily 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 G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: