The graph represents a network of 5,612 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 Sunday, 05 April 2020 at 08:49 UTC.
The requested start date was Sunday, 05 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 11-day, 1-hour, 50-minute period from Tuesday, 24 March 2020 at 08:14 UTC to Saturday, 04 April 2020 at 10:04 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 : 5612
Unique Edges : 5674
Edges With Duplicates : 780
Total Edges : 6454
Number of Edge Types : 4
Replies to : 517
Mentions : 1018
Tweet : 939
MentionsInRetweet : 3980
Self-Loops : 939
Reciprocated Vertex Pair Ratio : 0.00676720804331013
Reciprocated Edge Ratio : 0.0134434415210294
Connected Components : 1064
Single-Vertex Connected Components : 474
Maximum Vertices in a Connected Component : 601
Maximum Edges in a Connected Component : 714
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.783892
Graph Density : 0.000165359688921809
Modularity : 0.833121
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,612 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 Sunday, 05 April 2020 at 08:49 UTC.
The requested start date was Sunday, 05 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 11-day, 1-hour, 50-minute period from Tuesday, 24 March 2020 at 08:14 UTC to Saturday, 04 April 2020 at 10:04 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:
[1983] sars,cov [710] 2019,ncov [709] sars,ncov [659] covid,19 [540] 迅速簡易検出法,イムノクロマト法 [512] イムノクロマト法,による血中抗sars [508] cov,2抗体の評価 [506] による血中抗sars,cov [501] #coronavirus,sars [443] 2抗体の評価,国立感染症研究所 Top Word Pairs in Tweet in G1:
[488] 迅速簡易検出法,イムノクロマト法 [463] イムノクロマト法,による血中抗sars [463] による血中抗sars,cov [463] cov,2抗体の評価 [437] 2抗体の評価,国立感染症研究所 [436] 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 [435] earl_med_tw,迅速簡易検出法 [435] 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 [26] 初期でもiggの方が陽性になりやすい,というのは他のウイルスでもみかけます [26] というのは他のウイルスでもみかけます,他のウイルスなどとの交差反応はいかほど Top Word Pairs in Tweet in G2:
[301] sars,cov [192] 2019,ncov [175] covid,19 [66] ãƒ,ム[59] sars,ncov [48] novel,coronavirus [35] ncov,sars [33] coronavirus,2019 [29] 迅速簡易検出法,イムノクロマト法 [28] イムノクロマト法,による血中抗sars Top Word Pairs in Tweet in G3:
[538] sars,cov [455] #coronavirus,sars [209] informació,#coronavirus [209] cov,altres [209] altres,llengües [204] llengües,amazic [204] amazic,armeni [204] armeni,akan [204] akan,àrab [204] àrab,bambara Top Word Pairs in Tweet in G4:
[320] 2002,sars [320] sars,2005 [320] 2005,bird [320] bird,flu [320] flu,2009 [320] 2009,swine [320] swine,2012 [320] 2012,mers [320] mers,2014 [224] observe,last Top Word Pairs in Tweet in G5:
[283] sars,cov2 [283] cov2,circulante [283] circulante,colombia [283] colombia,suman [283] suman,iniciativas [282] inscolombia,datos [281] datos,genã [281] genã,ticos [281] ticos,sars [280] iniciativas,reconstruyâ Top Word Pairs in Tweet in G6:
[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 G7:
[170] sars,ncov [105] 19,sars [104] 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:
[95] 2019,ncov [92] sars,cov [87] 3d,print [87] print,sars [87] cov,known [87] known,2019 [87] ncov,virus [87] virus,causes [87] causes,#covid19 [87] #covid19,virus Top Word Pairs in Tweet in G9:
[85] using,computational [85] computational,analysis [85] analysis,modeling [85] modeling,behavior [85] behavior,molecule [85] molecule,computer [85] computer,worked [85] worked,probable [85] probable,mechanism [84] yishan,using Top Word Pairs in Tweet in G10:
[22] sars,cov [15] 2019,ncov [13] covid,19 [7] coronavirus,sars [6] coronavirus,disease [6] disease,2019 [6] 2019,covid [4] rapid,random [4] random,access [4] access,detection Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G8:
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: