The graph represents a network of 810 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 Friday, 18 September 2020 at 09:40 UTC.
The requested start date was Friday, 18 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, 20-hour, 34-minute period from Friday, 04 September 2020 at 01:50 UTC to Thursday, 17 September 2020 at 22:24 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 : 810
Unique Edges : 634
Edges With Duplicates : 878
Total Edges : 1512
Number of Edge Types : 5
Retweet : 309
MentionsInRetweet : 501
Replies to : 109
Mentions : 421
Tweet : 172
Self-Loops : 194
Reciprocated Vertex Pair Ratio : 0.00919540229885057
Reciprocated Edge Ratio : 0.0182232346241458
Connected Components : 196
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 246
Maximum Edges in a Connected Component : 700
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.435021
Graph Density : 0.00133986479268721
Modularity : 0.578003
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 810 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 Friday, 18 September 2020 at 09:40 UTC.
The requested start date was Friday, 18 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, 20-hour, 34-minute period from Friday, 04 September 2020 at 01:50 UTC to Thursday, 17 September 2020 at 22:24 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:
[196] sars,cov [127] covid,19 [91] #covid19,#sarscov2 [68] 2019,ncov [66] thanks,#opendata [66] #opendata,sharing [66] sharing,gisaid [66] gisaid,we've [60] nextstrain,thanks [60] sars,ncov Top Word Pairs in Tweet in G1:
[67] #covid19,#sarscov2 [66] thanks,#opendata [66] #opendata,sharing [66] sharing,gisaid [66] gisaid,we've [60] nextstrain,thanks [44] we've,updated [44] #sarscov2,sequences [22] we've,added [22] #sarscov2,seqs Top Word Pairs in Tweet in G2:
[50] sars,cov [36] covid,19 [16] 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 G3:
[5] sars,cov [3] #pradham,'uncanny [3] 'uncanny,similarity [3] similarity,unique [3] unique,inserts [3] inserts,2019 [3] 2019,ncov [3] ncov,spike [3] spike,protein [3] protein,#hiv Top Word Pairs in Tweet in G4:
[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 G5:
[3] flitesurgn,andrewlazarus4 [3] andrewlazarus4,frankdelia7 [3] frankdelia7,geoffschuler [3] crabb_vicki,emartinez78987 [3] emartinez78987,wendyorent [3] wendyorent,twitjunkie0124 [3] twitjunkie0124,jaikanta22 [3] provaxtexan,handmadekathy [3] handmadekathy,mcfunny [3] smcmenemin,swedishchf Top Word Pairs in Tweet in G6:
[9] 30,laboratorium [8] sars,cov [7] ruim,30 [7] laboratorium,geïsoleerde [7] geïsoleerde,stammen [7] stammen,coronavirus [7] coronavirus,bestaan [7] bestaan,zeven [7] zeven,varianten [7] varianten,die Top Word Pairs in Tweet in G7:
[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 G8:
[13] fxi9ttsrgrl5hnx,sars [13] sars,ncov [13] ncov,2は分離も培養もされています [13] 2は分離も培養もされています,他生物で実験しても意味がありません [13] 他生物で実験しても意味がありません,検査と病理的 [13] 検査と病理的,疫学的な観察をすれば十分である上に得られるものがないからです [12] sunasaji,fxi9ttsrgrl5hnx [12] 疫学的な観察をすれば十分である上に得られるものがないからです,大橋 [3] ダイヤモンドプリンセス号環境検査に関する報告,covid [3] covid,19患者周囲の環境は Top Word Pairs in Tweet in G9:
[15] société,française [15] française,pédiatrie [14] edité,par [14] par,société [14] pédiatrie,place [14] place,enfant [14] enfant,transmission [14] transmission,sars [14] sars,cov2 [14] cov2,données Top Word Pairs in Tweet in G10:
[12] 国内,検査陽性率の推移 [12] ５,陽性率５ [12] 陽性率５,未満を２週間維持 [12] 未満を２週間維持,感染がコントロールされていることを示唆するひとつの指標です [12] 感染がコントロールされていることを示唆するひとつの指標です,co [10] interleukin111,国内 [9] 検査陽性率の推移,９月２日 [9] ９月２日,９月２日 [9] ９月２日,４ [9] ４,２ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: