The graph represents a network of 5,621 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 08 April 2020 at 08:47 UTC.
The requested start date was Wednesday, 08 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 13-day, 2-hour, 23-minute period from Wednesday, 25 March 2020 at 08:04 UTC to Tuesday, 07 April 2020 at 10:27 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 : 5621
Unique Edges : 5662
Edges With Duplicates : 812
Total Edges : 6474
Number of Edge Types : 4
Tweet : 1002
MentionsInRetweet : 3830
Mentions : 1049
Replies to : 593
Self-Loops : 1002
Reciprocated Vertex Pair Ratio : 0.00822400626590954
Reciprocated Edge Ratio : 0.0163138473489998
Connected Components : 1144
Single-Vertex Connected Components : 483
Maximum Vertices in a Connected Component : 606
Maximum Edges in a Connected Component : 655
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.032425
Graph Density : 0.000162994515356432
Modularity : 0.827953
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,621 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 08 April 2020 at 08:47 UTC.
The requested start date was Wednesday, 08 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 13-day, 2-hour, 23-minute period from Wednesday, 25 March 2020 at 08:04 UTC to Tuesday, 07 April 2020 at 10:27 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 : SARS-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:
[1925] sars,cov [761] covid,19 [750] sars,ncov [709] 2019,ncov [619] 迅速簡易検出法,イムノクロマト法 [590] イムノクロマト法,による血中抗sars [586] cov,2抗体の評価 [583] による血中抗sars,cov [450] 2抗体の評価,国立感染症研究所 [447] 国立感染症研究所,なんか某クリニックが新型コロナウイルスのigm Top Word Pairs in Tweet in G1:
[522] 迅速簡易検出法,イムノクロマト法 [496] イムノクロマト法,による血中抗sars [496] による血中抗sars,cov [496] cov,2抗体の評価 [443] 2抗体の評価,国立感染症研究所 [442] 国立感染症研究所,なんか某クリニックが新型コロナウイルスのigm [441] earl_med_tw,迅速簡易検出法 [441] なんか某クリニックが新型コロナウイルスのigm,iggイムノクロマトグラフィーやってるみたいなんで [46] 2抗体の評価,残念ながら [46] 残念ながら,発症6日後までのcovid Top Word Pairs in Tweet in G2:
[278] sars,cov [187] 2019,ncov [169] covid,19 [66] sars,ncov [51] ãƒ,ム[48] novel,coronavirus [41] 迅速簡易検出法,イムノクロマト法 [40] イムノクロマト法,による血中抗sars [38] による血中抗sars,cov [38] cov,2抗体の評価 Top Word Pairs in Tweet in G3:
[284] sars,cov2 [284] cov2,circulante [284] circulante,colombia [284] colombia,suman [284] suman,iniciativas [283] inscolombia,datos [281] datos,genã [281] genã,ticos [281] ticos,sars [280] iniciativas,reconstruyâ Top Word Pairs in Tweet in G4:
[385] sars,cov [311] #coronavirus,sars [107] tota,informació [99] informació,#coronavirus [99] cov,altres [99] altres,llengües [94] llengües,amazic [94] amazic,armeni [94] armeni,akan [94] akan,àrab Top Word Pairs in Tweet in G5:
[214] sars,cov [213] 3x,lagi2 [213] lagi2,namanya [213] namanya,bodoman [213] bodoman,tulisan [213] tulisan,th [213] th,2007 [213] 2007,tsb [213] tsb,menjelaskan [213] menjelaskan,soal Top Word Pairs in Tweet in G6:
[132] using,computational [132] computational,analysis [132] analysis,modeling [132] modeling,behavior [132] behavior,molecule [132] molecule,computer [132] computer,worked [132] worked,probable [132] probable,mechanism [131] yishan,using Top Word Pairs in Tweet in G7:
[176] sars,ncov [111] 19,sars [110] covid,19 [97] ncov,bad [97] bad,practice [97] practice,government [97] government,office [97] office,effect [96] prime_research1,covid [93] effect,confiâ Top Word Pairs in Tweet in G8:
[105] 2002,sars [105] sars,2005 [105] 2005,bird [105] bird,flu [105] flu,2009 [105] 2009,swine [105] swine,2012 [105] 2012,mers [105] mers,2014 [97] 2014,ebola Top Word Pairs in Tweet in G9:
[24] sars,cov [18] covid,19 [13] 2019,ncov [7] coronavirus,disease [7] disease,2019 [7] 2019,covid [6] coronavirus,sars [5] against,sars [4] 19,cdcgov [4] activity,against Top Word Pairs in Tweet in G10:
[80] sars,cov [15] ipak,research [15] research,motif [15] motif,pathogenicity [15] pathogenicity,typing [15] typing,sars [15] cov,coronavirus [15] coronavirus,contain [15] contain,unique [14] lifebiomedguru,ipak Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
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 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: