The graph represents a network of 1,050 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 Monday, 21 September 2020 at 09:15 UTC.
The requested start date was Monday, 21 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, 22-hour, 46-minute period from Monday, 07 September 2020 at 00:43 UTC to Sunday, 20 September 2020 at 23:29 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 : 1050
Unique Edges : 983
Edges With Duplicates : 1343
Total Edges : 2326
Number of Edge Types : 5
Retweet : 541
MentionsInRetweet : 1086
Tweet : 198
Mentions : 387
Replies to : 114
Self-Loops : 228
Reciprocated Vertex Pair Ratio : 0.00770847932725999
Reciprocated Edge Ratio : 0.0152990264255911
Connected Components : 212
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 198
Maximum Edges in a Connected Component : 678
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.795856
Graph Density : 0.00130555177266331
Modularity : 0.580075
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,050 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 Monday, 21 September 2020 at 09:15 UTC.
The requested start date was Monday, 21 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, 22-hour, 46-minute period from Monday, 07 September 2020 at 00:43 UTC to Sunday, 20 September 2020 at 23:29 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:
[273] sars,cov [144] covid,19 [111] extraordinary,see [111] see,cdcgov [111] cdcgov,finally [111] finally,acknowledge [111] acknowledge,scientists [111] scientists,linseymarr [111] linseymarr,j_g_allen [111] j_g_allen,saying Top Word Pairs in Tweet in G1:
[111] extraordinary,see [111] see,cdcgov [111] cdcgov,finally [111] finally,acknowledge [111] acknowledge,scientists [111] scientists,linseymarr [111] linseymarr,j_g_allen [111] j_g_allen,saying [111] saying,months [111] months,sars Top Word Pairs in Tweet in G2:
[64] #covid19,#sarscov2 [63] thanks,#opendata [63] #opendata,sharing [63] sharing,gisaid [63] gisaid,we've [58] nextstrain,thanks [41] we've,updated [41] #sarscov2,sequences [22] we've,added [22] #sarscov2,seqs Top Word Pairs in Tweet in G3:
[52] sars,cov [36] covid,19 [13] 2019,ncov [11] sars,ncov [9] #covid19,#covid_19 [9] 09,2020 [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 G4:
[5] 2019,ncov [5] sars,cov [3] #pradham,'uncanny [3] 'uncanny,similarity [3] similarity,unique [3] unique,inserts [3] inserts,2019 [3] ncov,spike [3] spike,protein [3] protein,#hiv Top Word Pairs in Tweet in G5:
[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 G6:
[24] cdcによるpcrの推奨が変更に,sars [24] sars,cov [24] cov,2感染者への濃厚接触があったら [24] 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 [24] 症状がなくても検査を推奨する,ことになりました [24] ことになりました,この場合 [24] この場合,検査陰性でも感染しているとは限らない [24] 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 [24] 検査陰性でも14日間自己隔離する,とも書かれています [23] ryoma_tanaka,cdcによるpcrの推奨が変更に Top Word Pairs in Tweet in G7:
[22] société,française [22] française,pédiatrie [21] edité,par [21] par,société [21] pédiatrie,place [21] place,enfant [21] enfant,transmission [21] transmission,sars [21] sars,cov2 [21] cov2,données Top Word Pairs in Tweet in G8:
[3] macunaimaz,coelho7l [3] coelho7l,ath1abalba [3] ath1abalba,eutrilheiro [3] eutrilheiro,mirandasa_ [3] mirandasa_,profeborto [3] profeborto,ferdinandoperre [3] ferdinandoperre,radiorockpuro [3] radiorockpuro,lookingcritical [2] stareginarocha,macunaimaz Top Word Pairs in Tweet in G10:
[15] sep,18 [15] 18,cdc [15] cdc,testing [15] testing,guidelines [15] guidelines,update [15] update,close [15] close,contact [15] contact,such [15] such,within [15] within,feet Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G8:
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: