The graph represents a network of 7,350 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 Sunday, 04 October 2020 at 08:51 UTC.
The requested start date was Sunday, 04 October 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, 23-hour, 32-minute period from Sunday, 20 September 2020 at 00:27 UTC to Sunday, 04 October 2020 at 00:00 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 : 7350
Unique Edges : 2537
Edges With Duplicates : 10644
Total Edges : 13181
Number of Edge Types : 5
Replies to : 789
Mentions : 1516
Retweet : 5022
MentionsInRetweet : 5389
Tweet : 465
Self-Loops : 492
Reciprocated Vertex Pair Ratio : 0.0072142064372919
Reciprocated Edge Ratio : 0.0143250688705234
Connected Components : 733
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 1530
Maximum Edges in a Connected Component : 3264
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.68318
Graph Density : 0.000134406735887987
Modularity : 0.542033
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,350 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 Sunday, 04 October 2020 at 08:51 UTC.
The requested start date was Sunday, 04 October 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, 23-hour, 32-minute period from Sunday, 20 September 2020 at 00:27 UTC to Sunday, 04 October 2020 at 00:00 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:
[5626] sars,cov [960] peço,licença [960] licença,respeitosamente [960] respeitosamente,discordar [960] discordar,não [960] não,acho [960] acho,possível [960] possível,comparar [960] comparar,sars [960] cov,os Top Word Pairs in Tweet in G1:
[1092] sars,cov [931] peço,licença [931] licença,respeitosamente [931] respeitosamente,discordar [931] discordar,não [931] não,acho [931] acho,possível [931] possível,comparar [931] comparar,sars [931] cov,os Top Word Pairs in Tweet in G2:
[630] sars,cov [587] epidemia,sars [587] 2002,2004 [587] 2004,mostrou [587] mostrou,fechar [587] fechar,escolas [587] escolas,não [587] não,diminuía [586] diminuía,disseminação [586] disseminação,vírus Top Word Pairs in Tweet in G3:
[558] covid,19 [558] 19,enfermedd [558] enfermedd,curable [558] curable,buena [558] buena,descripción [558] descripción,únicos [558] únicos,casos [558] casos,evidencia [558] evidencia,comprobable [557] doctormacias,covid Top Word Pairs in Tweet in G4:
[302] sars,cov [302] cov,deseo [302] deseo,pronta [302] pronta,recuperación [300] trump,positivo [300] positivo,covid19 [300] covid19,tome [300] tome,medidas [300] medidas,sanitarias [300] sanitarias,correspondientes Top Word Pairs in Tweet in G5:
[271] sars,cov [265] dado,usted [265] usted,positivo [265] positivo,coronavirus [265] coronavirus,cual [265] cual,hcov [265] hcov,229e [265] 229e,hcov [265] hcov,oc43 [265] oc43,hcov Top Word Pairs in Tweet in G6:
[265] sars,cov [264] problem,many [264] many,perhaps [264] perhaps,sars [264] cov,infections [264] infections,asymptomatic [264] asymptomatic,access [264] access,tests [264] tests,turnaround [264] turnaround,times Top Word Pairs in Tweet in G7:
[218] sars,cov [65] very,excited [65] excited,share [65] share,lab [65] lab,work [65] work,sars [65] cov,huge [65] huge,team [65] team,effort [65] effort,many Top Word Pairs in Tweet in G8:
[480] sars,cov [249] positivo,coronavirus [249] hcov,229e [249] 229e,hcov [249] hcov,oc43 [249] oc43,hcov [249] hcov,nl63 [249] nl63,hcov [249] hcov,hku1 [249] hku1,sars Top Word Pairs in Tweet in G9:
[314] sars,cov [38] mers,cov [38] covid,19 [32] cov,sars [20] cov,mers [14] cov,infection [12] respiratory,syndrome [9] virus,sars [8] coronavirus,sars [7] severe,acute Top Word Pairs in Tweet in G10:
[105] hcov,oc43 [104] oc43,hcov [103] attenzione,ho [103] ho,letto [103] letto,caso [103] caso,positività [103] positività,bisogna [103] bisogna,chiedere [103] chiedere,quale [103] quale,virus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: