The graph represents a network of 6,545 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 Thursday, 03 December 2020 at 12:22 UTC.
The requested start date was Thursday, 03 December 2020 at 01:01 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, 56-minute period from Thursday, 19 November 2020 at 01:02 UTC to Thursday, 03 December 2020 at 00:59 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 : 6545
Unique Edges : 4990
Edges With Duplicates : 5479
Total Edges : 10469
Number of Edge Types : 5
Tweet : 423
Retweet : 2254
MentionsInRetweet : 3548
Replies to : 1293
Mentions : 2951
Self-Loops : 439
Reciprocated Vertex Pair Ratio : 0.00389321468298109
Reciprocated Edge Ratio : 0.00775623268698061
Connected Components : 847
Single-Vertex Connected Components : 198
Maximum Vertices in a Connected Component : 3200
Maximum Edges in a Connected Component : 6730
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 5.984837
Graph Density : 0.000168571540641151
Modularity : 0.667335
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,545 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 Thursday, 03 December 2020 at 12:22 UTC.
The requested start date was Thursday, 03 December 2020 at 01:01 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, 56-minute period from Thursday, 19 November 2020 at 01:02 UTC to Thursday, 03 December 2020 at 00:59 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:
[1170] sars,cov [669] ministerio,sanidad [660] cov,transmite [659] transmite,aerosoles [659] sanidad,sanidadgob [658] aerosoles,publica [658] publica,ministerio [658] sanidadgob,hoy [658] hoy,implica [657] mc_minguillon,sars Top Word Pairs in Tweet in G1:
[675] sars,cov [661] ministerio,sanidad [655] sanidad,sanidadgob [654] cov,transmite [654] transmite,aerosoles [654] aerosoles,publica [654] publica,ministerio [654] sanidadgob,hoy [654] hoy,implica [653] mc_minguillon,sars Top Word Pairs in Tweet in G2:
[259] infections,spread [256] cdcgov,nearly [256] nearly,60 [256] 60,#covid19 [256] #covid19,infections [256] spread,asymptomatic [255] people,24 [255] 24,transmit [254] important,info [254] info,cdcgov Top Word Pairs in Tweet in G3:
[310] medical,journal [309] large,randomized [309] randomized,controlled [309] controlled,trial [309] trial,published [309] published,top [309] top,medical [309] journal,showing [309] showing,masks [308] jamestodaromd,large Top Word Pairs in Tweet in G4:
[116] sars,cov [86] covid,19 [52] scholars,portal [37] 2019,ncov [27] #covid19,#sarscov2 [26] articles,covid [26] portal,périodiques [26] 19,scholars [26] portal,journals [24] 2020,11 Top Word Pairs in Tweet in G5:
[6] cloth,masks [6] scientific,brief [5] estados,unidos [5] unidos,cdc [5] cdc,aceptan [5] aceptan,finalmente [5] finalmente,usar [5] usar,cubrebocas [5] cubrebocas,protege [5] protege,demás Top Word Pairs in Tweet in G6:
[9] sars,cov [9] jljcolorado,googlenews [9] googlenews,asymptomatic [9] asymptomatic,presymptomatic [9] presymptomatic,people [9] people,feel [9] feel,well [9] well,estimated [9] estimated,account [9] account,more Top Word Pairs in Tweet in G7:
[7] masks,protect [4] jeffreyguterman,realdonaldtrump [4] realdonaldtrump,gregkellyusa [4] gregkellyusa,newsmax [4] need,reminder [4] reminder,wear [4] wear,mask [4] mask,recently [4] recently,cdc [4] cdc,noted Top Word Pairs in Tweet in G8:
[5] cdc,scientific [5] scientific,brief [5] brief,masks [5] sars,cov [4] grumpyolddoc,cdc [4] carlheneghan,spectator [3] covid,19 [3] aerosol,spread [3] wear,masks [3] cycle,threshold Top Word Pairs in Tweet in G9:
[2] jameselijahmill,skepticalmutant [2] just4thecause,tinfoilawards [2] tinfoilawards,paulvcooper1 [2] paulvcooper1,shallit43 [2] shallit43,lg28640297 [2] lg28640297,risettemd [2] jkellyca,geoffschuler [2] krebiozen,bobby_network [2] bobby_network,provaxtexan [2] andrewlazarus4,lesleystock5 Top Word Pairs in Tweet in G10:
[33] sars,cov [31] covid,19 [31] general,positive [31] positive,antibody [31] antibody,test [31] test,presumed [31] presumed,mean [31] mean,person [31] person,infected [30] infected,sars Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: