The graph represents a network of 5,812 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 Wednesday, 25 March 2020 at 08:10 UTC.
The requested start date was Wednesday, 25 March 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 2-day, 6-hour, 31-minute period from Sunday, 22 March 2020 at 03:48 UTC to Tuesday, 24 March 2020 at 10:19 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 : 5812
Unique Edges : 5760
Edges With Duplicates : 537
Total Edges : 6297
Number of Edge Types : 4
MentionsInRetweet : 4251
Tweet : 644
Replies to : 648
Mentions : 754
Self-Loops : 644
Reciprocated Vertex Pair Ratio : 0.0047970479704797
Reciprocated Edge Ratio : 0.00954829232464194
Connected Components : 942
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 1282
Maximum Edges in a Connected Component : 1444
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.354058
Graph Density : 0.000161250531925414
Modularity : 0.871582
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 5,812 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 Wednesday, 25 March 2020 at 08:10 UTC.
The requested start date was Wednesday, 25 March 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 2-day, 6-hour, 31-minute period from Sunday, 22 March 2020 at 03:48 UTC to Tuesday, 24 March 2020 at 10:19 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:
[4649] sars,cov [827] horseshoe,bat [826] re,sars [826] cov,showing [825] drop,23 [825] 23,mar [825] mar,'20 [825] '20,waiting [825] waiting,seen [825] seen,many Top Word Pairs in Tweet in G1:
[820] drop,23 [820] 23,mar [820] mar,'20 [820] '20,waiting [820] waiting,seen [820] seen,many [820] many,anons [820] anons,2007 [820] 2007,doc [820] doc,re Top Word Pairs in Tweet in G2:
[493] virus,similares [493] sars,cov [492] año,2007 [492] 2007,presencia [492] presencia,virus [492] similares,sars [492] cov,murciélagos [492] murciélagos,junto [492] junto,cultura [492] cultura,comer Top Word Pairs in Tweet in G3:
[431] sars,cov [60] covid,19 [59] mers,cov [39] respiratory,syndrome [31] cov,sars [27] severe,acute [27] acute,respiratory [17] 2019,ncov [16] coronavirus,sars [14] virus,sars Top Word Pairs in Tweet in G4:
[265] sars,cov [264] covid,19 [263] little,late [263] late,hope [263] hope,still [263] still,helps [263] helps,here's [263] here's,simple [263] simple,tweetorial [263] tweetorial,covid Top Word Pairs in Tweet in G5:
[123] sars,cov [34] study,showing [31] italy,struggles [31] struggles,realdonaldtrump [31] realdonaldtrump,mentions [31] mentions,chloroquine [31] chloroquine,hydroxychloroquine [31] hydroxychloroquine,treatments [31] treatments,sars [30] aranganathan72,italy Top Word Pairs in Tweet in G6:
[119] plagas,pestes [119] pestes,mundo [119] mundo,lepra [119] lepra,peste [119] peste,negra [119] negra,viruela [119] viruela,gripe [119] gripe,española [119] española,fiebre [119] fiebre,amarila Top Word Pairs in Tweet in G7:
[117] turns,chloroquine [117] chloroquine,anti [117] anti,malaria [117] malaria,drug [117] drug,known [117] known,science [117] science,effective [117] effective,agent [117] agent,capable [117] capable,both Top Word Pairs in Tweet in G8:
[58] acabo,dar [58] dar,cuenta [58] cuenta,nueva [58] nueva,tasa [58] tasa,letalidad [58] letalidad,#covid19 [58] #covid19,14 [58] 14,611 [58] 611,335 [58] 335,403 Top Word Pairs in Tweet in G9:
[47] nuevo,#coronavirus [47] #coronavirus,creado [47] creado,instituto [47] instituto,pasteur [47] pasteur,francia [47] francia,existe [47] existe,patente [47] patente,2004 [47] 2004,tipo [46] afpfactual,nuevo Top Word Pairs in Tweet in G10:
[91] 3c,protease [90] inhibition,sars [90] sars,cov [90] cov,3c [90] protease,activity [90] activity,theaflavin [90] theaflavin,digallate [90] digallate,tf3 [90] tf3,interesting [89] drjasonfung,inhibition Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
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 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: