The graph represents a network of 2,323 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, 27 May 2020 at 08:57 UTC.
The requested start date was Wednesday, 27 May 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, 9-hour, 51-minute period from Wednesday, 13 May 2020 at 00:02 UTC to Tuesday, 26 May 2020 at 09:54 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 : 2323
Unique Edges : 1007
Edges With Duplicates : 3206
Total Edges : 4213
Number of Edge Types : 5
Retweet : 1482
MentionsInRetweet : 1738
Tweet : 434
Replies to : 151
Mentions : 408
Self-Loops : 471
Reciprocated Vertex Pair Ratio : 0.00460617227084293
Reciprocated Edge Ratio : 0.00917010545621275
Connected Components : 441
Single-Vertex Connected Components : 220
Maximum Vertices in a Connected Component : 824
Maximum Edges in a Connected Component : 1806
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.24594
Graph Density : 0.00040433770374004
Modularity : 0.537057
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,323 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, 27 May 2020 at 08:57 UTC.
The requested start date was Wednesday, 27 May 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, 9-hour, 51-minute period from Wednesday, 13 May 2020 at 00:02 UTC to Tuesday, 26 May 2020 at 09:54 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 G2:
[398] sars,cov [394] covid,19 [394] ncov,19 [394] chadox1,ncov [394] 2019,ncov [394] rhesus,macaques [394] cov,pneumonia [394] pneumonia,rhesus [394] prevents,sars [394] 19,vaccination Top Word Pairs in Tweet in G3:
[177] #ccpvirus,从sars开始 [107] 从sars开始,每逢重大传染病疫情发生 [73] 每逢重大传染病疫情发生,诸如h1n1 [70] 诸如h1n1,h3n2 [62] h3n2,h7n9 [62] h7n9,mers [56] mers,直到2019 [56] 直到2019,ncov [52] ncov,都被同一个人的同一种药一网打尽 [50] 都被同一个人的同一种药一网打尽,但凡有点儿医学常识的人都会知道这要么是一个神迹 Top Word Pairs in Tweet in G4:
[149] timely,publication [149] publication,pre [149] pre,print [149] print,manuscript [149] manuscript,showing [149] showing,vaccine [149] vaccine,trialling [149] trialling,people [149] people,protects [149] protects,rhesus Top Word Pairs in Tweet in G5:
[48] disappointing,results [48] results,oxford [48] oxford,covid [48] covid,vaccine [48] vaccine,'chadox1 [48] 'chadox1,ncov [48] ncov,19' [48] 19',monkey [48] monkey,trials [48] trials,vaccinated Top Word Pairs in Tweet in G6:
Top Word Pairs in Tweet in G7:
[] please,bookmark [] bookmark,share [] share,including [] including,those [] those,twitter [] twitter,created [] created,link [] link,take [] take,anyone [] anyone,twitter Top Word Pairs in Tweet in G8:
[51] study,touchable [51] touchable,surfaces [51] surfaces,designated [51] designated,hospital [51] hospital,covid [51] covid,19 [51] 19,heavily [51] heavily,contaminated [51] contaminated,suggesting [51] flutrackers,study Top Word Pairs in Tweet in G9:
[28] sars,ncov [28] 200,sars [28] ncov,#genomes [28] update,200 [28] #genomes,#india [28] #india,covering [28] covering,19 [28] 19,states [28] states,uts [27] uts,infographics Top Word Pairs in Tweet in G10:
[42] #who,change [35] change,name [35] name,#virus [32] #virus,#2019ncovsars [32] #2019ncovsars,#covid19 [32] #covid19,yes [32] yes,#ccp [32] #ccp,always [32] always,plays [32] plays,around Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: