The graph represents a network of 1,490 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 Saturday, 26 September 2020 at 12:17 UTC.
The requested start date was Saturday, 26 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 13-day, 21-hour, 44-minute period from Saturday, 12 September 2020 at 01:28 UTC to Friday, 25 September 2020 at 23:13 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 : 1490
Unique Edges : 1664
Edges With Duplicates : 2213
Total Edges : 3877
Number of Edge Types : 5
Replies to : 120
Mentions : 508
MentionsInRetweet : 2113
Retweet : 947
Tweet : 189
Self-Loops : 216
Reciprocated Vertex Pair Ratio : 0.00553359683794466
Reciprocated Edge Ratio : 0.0110062893081761
Connected Components : 203
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 597
Maximum Edges in a Connected Component : 2184
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.221559
Graph Density : 0.00114666390217298
Modularity : 0.552379
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,490 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 Saturday, 26 September 2020 at 12:17 UTC.
The requested start date was Saturday, 26 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 13-day, 21-hour, 44-minute period from Saturday, 12 September 2020 at 01:28 UTC to Friday, 25 September 2020 at 23:13 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:
[481] sars,cov [252] extraordinary,see [252] see,cdcgov [252] cdcgov,finally [252] finally,acknowledge [252] acknowledge,scientists [252] scientists,linseymarr [252] linseymarr,j_g_allen [252] j_g_allen,saying [252] saying,months Top Word Pairs in Tweet in G1:
[250] extraordinary,see [250] see,cdcgov [250] cdcgov,finally [250] finally,acknowledge [250] acknowledge,scientists [250] scientists,linseymarr [250] linseymarr,j_g_allen [250] j_g_allen,saying [250] saying,months [250] months,sars Top Word Pairs in Tweet in G2:
[126] juliettekayyem,confirmed [126] confirmed,here's [126] here's,cdc [126] cdc,used [126] used,sars [126] sars,cov [126] cov,transmitted [126] transmitted,aerosols [126] aerosols,censored [125] barney1776,juliettekayyem Top Word Pairs in Tweet in G3:
[57] #covid19,#sarscov2 [56] thanks,#opendata [56] #opendata,sharing [56] sharing,gisaid [56] gisaid,we've [49] nextstrain,thanks [43] we've,updated [33] #sarscov2,seqs [23] #sarscov2,sequences [21] seqs,check Top Word Pairs in Tweet in G4:
[49] sars,cov [36] covid,19 [14] 2019,ncov [9] #covid19,#covid_19 [9] 09,2020 [8] sars,ncov [8] #coronavirus,#covidー19 [8] #covidー19,#covid19 [8] #covid_19,#sarscov2 [8] #sarscov2,#sars_cov_2 Top Word Pairs in Tweet in G5:
[5] sars,cov [4] rcprentice,wherejuliet [4] ghoppe,organicdot [4] ephesians6__12,ale_battini [4] boastira,chris_f_carson [3] kixerp,risettemd [3] wherejuliet,dadsonworldwide [3] janeeopie,ghoppe [3] ale_battini,carlsmythe [3] carlsmythe,boastira Top Word Pairs in Tweet in G6:
[4] 2019,ncov [2] co,lemsbcxiwu [2] lemsbcxiwu,co [2] co,72no5hqzfr [2] 72no5hqzfr,co [2] co,wzsd0tazcl [2] sars,cov2 [2] nuestro,estudio [2] estudio,cumple [2] cumple,postulados Top Word Pairs in Tweet in G7:
[54] cas,contacts [40] lci,#covid19 [29] #covid19,olivierveran [18] olivierveran,cas [18] contacts,cas [18] contacts,sont [18] sont,cas [18] contacts,faut [18] faut,assurer [18] assurer,priorité Top Word Pairs in Tweet in G8:
[32] sars,cov [28] cdcによるpcrの推奨が変更に,sars [28] cov,2感染者への濃厚接触があったら [28] 2感染者への濃厚接触があったら,症状がなくても検査を推奨する [28] 症状がなくても検査を推奨する,ことになりました [28] ことになりました,この場合 [28] この場合,検査陰性でも感染しているとは限らない [28] 検査陰性でも感染しているとは限らない,検査陰性でも14日間自己隔離する [28] 検査陰性でも14日間自己隔離する,とも書かれています [27] ryoma_tanaka,cdcによるpcrの推奨が変更に Top Word Pairs in Tweet in G9:
[4] september,17 [4] 17,2020 [3] supermikhail1,milhouse_van_ho [3] milhouse_van_ho,randyhillier [3] randyhillier,relevant [3] relevant,ontario [3] ontario,phol [3] phol,published [3] published,rtpcr [3] rtpcr,parameters Top Word Pairs in Tweet in G10:
[26] cdc,revises [26] revises,guidance [26] guidance,transmission [26] transmission,sars [26] sars,cov [26] cov,places [26] places,aerosol [26] aerosol,ahead [26] ahead,droplet [26] droplet,predominant 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 G5:
Top Replied-To in G6:
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: