The graph represents a network of 5,903 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 April 2020 at 08:41 UTC.
The requested start date was Monday, 13 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 3-day, 15-hour, 44-minute period from Wednesday, 08 April 2020 at 20:45 UTC to Sunday, 12 April 2020 at 12:29 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 : 5903
Unique Edges : 6067
Edges With Duplicates : 584
Total Edges : 6651
Number of Edge Types : 4
MentionsInRetweet : 4475
Mentions : 1051
Replies to : 588
Tweet : 537
Self-Loops : 537
Reciprocated Vertex Pair Ratio : 0.00684462696783025
Reciprocated Edge Ratio : 0.0135961930659415
Connected Components : 741
Single-Vertex Connected Components : 244
Maximum Vertices in a Connected Component : 1547
Maximum Edges in a Connected Component : 1916
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.878295
Graph Density : 0.000168888732234033
Modularity : 0.839348
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 5,903 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 April 2020 at 08:41 UTC.
The requested start date was Monday, 13 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 3-day, 15-hour, 44-minute period from Wednesday, 08 April 2020 at 20:45 UTC to Sunday, 12 April 2020 at 12:29 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-COV
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:
[4126] sars,cov [1428] efetiva,infecção [1427] cloroquina,medicação [1427] medicação,barata [1427] barata,usada [1427] usada,tratamento [1427] tratamento,varias [1427] varias,doenças [1427] doenças,incluindo [1427] incluindo,malária Top Word Pairs in Tweet in G1:
[1420] cloroquina,medicação [1420] medicação,barata [1420] barata,usada [1420] usada,tratamento [1420] tratamento,varias [1420] varias,doenças [1420] doenças,incluindo [1420] incluindo,malária [1420] malária,efetiva [1420] efetiva,infecção Top Word Pairs in Tweet in G2:
[642] sars,cov [602] crystal,structure [602] structure,sars [602] cov,spike [600] paper,nature [600] nature,determined [600] determined,crystal [600] spike,receptor [600] receptor,binding [600] binding,domain Top Word Pairs in Tweet in G3:
[538] sars,cov [260] cov,sars [257] isolated,characterized [257] characterized,human [257] human,antibody [257] antibody,potently [257] potently,neutralizes [257] neutralizes,sars [257] cov,entered [257] entered,accelerated Top Word Pairs in Tweet in G4:
[244] done,lab [244] lab,work [244] work,containment [244] containment,levels [244] levels,sars [244] sars,cov [244] cov,handled [244] handled,cl3 [244] cl3,change [244] change,ppe Top Word Pairs in Tweet in G5:
[359] sars,cov [44] covid,19 [41] mers,cov [22] cov,sars [19] cov,mers [16] coronavirus,sars [15] severe,acute [15] acute,respiratory [15] respiratory,syndrome [8] cov,2003 Top Word Pairs in Tweet in G6:
[324] sars,cov [150] mers,cov [149] 環境表面のウイルスだけど,coronavirusの場合 [149] coronavirusの場合,気温が4度より低いと [149] 気温が4度より低いと,２０日経ってもまだ感染力が残っている [149] ２０日経ってもまだ感染力が残っている,いちおう [149] いちおう,その環境条件は脱したが [149] その環境条件は脱したが,一つまだ問題が [149] 一つまだ問題が,sars [149] cov,mers Top Word Pairs in Tweet in G7:
[65] shocking,2005 [65] 2005,report [65] report,report [65] report,describe [65] describe,identification [65] identification,#chloroquine [65] #chloroquine,effective [65] effective,pre [60] mjgranger1,shocking [60] pre,infecti Top Word Pairs in Tweet in G8:
[131] shi,zhengli [130] adı,shi [130] zhengli,sars [130] sars,cov [130] cov,üzerinde [130] üzerinde,yıllardır [130] yıllardır,çalışan [130] çalışan,dünyanın [130] dünyanın,iyi [130] iyi,viroloji Top Word Pairs in Tweet in G9:
[105] sars,cov [83] chave,sars [83] cov,diz [83] diz,médico [83] médico,ítalo [83] ítalo,brasileiro [82] sarampo,chave [80] brasileiro,youtube [30] belleiprofessor,sarampo [6] know,bavari Top Word Pairs in Tweet in G10:
[59] sars,cov [25] study,showing [15] mers,sars [15] corona,virus [15] virus,entry [14] 2016,study [14] showing,fda [14] fda,approved [14] approved,drug [14] drug,teicoplanin 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 G7:
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 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: