The graph represents a network of 8,069 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 Thursday, 07 October 2021 at 11:05 UTC.
The requested start date was Thursday, 07 October 2021 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 7-day, 8-hour, 40-minute period from Wednesday, 29 September 2021 at 02:36 UTC to Wednesday, 06 October 2021 at 11:17 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 : 8069
Unique Edges : 1389
Edges With Duplicates : 14149
Total Edges : 15538
Number of Edge Types : 5
Retweet : 6881
MentionsInRetweet : 7287
Replies to : 447
Mentions : 721
Tweet : 202
Self-Loops : 219
Reciprocated Vertex Pair Ratio : 0.00195074372104365
Reciprocated Edge Ratio : 0.00389389145777561
Connected Components : 316
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 6045
Maximum Edges in a Connected Component : 12105
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.508242
Graph Density : 0.000126235217284633
Modularity : 0.391634
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,069 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 Thursday, 07 October 2021 at 11:05 UTC.
The requested start date was Thursday, 07 October 2021 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 7-day, 8-hour, 40-minute period from Wednesday, 29 September 2021 at 02:36 UTC to Wednesday, 06 October 2021 at 11:17 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:
[6899] sars,cov [5768] cov,replication [5766] cells,used [5765] hela,cells [5764] anniversary,transition [5764] transition,remember [5764] remember,hela [5764] used,studying [5764] studying,effects [5764] effects,sars Top Word Pairs in Tweet in G1:
[5760] anniversary,transition [5760] transition,remember [5760] remember,hela [5760] hela,cells [5760] cells,used [5760] used,studying [5760] studying,effects [5760] effects,sars [5760] sars,cov [5760] cov,replication Top Word Pairs in Tweet in G2:
[647] ministerio,sanidad [646] hemos,requerido [646] requerido,oficialmente [646] oficialmente,ministerio [646] sanidad,covid [646] covid,vais [646] vais,creer [646] creer,responden [646] responden,admiten [645] aitor13023985,hemos Top Word Pairs in Tweet in G3:
[179] sars,cov [92] mouse,strains [90] strains,constitutively [89] constitutively,expressing [89] expressing,human [89] human,receptor [89] receptor,sars [89] cov,human [89] human,angiotensin [89] angiotensin,converting Top Word Pairs in Tweet in G4:
[67] sars,cov [9] past_is_future,rossana38510044 [9] rossana38510044,ayjchan [9] ayjchan,tantalite [9] tantalite,daveatkinsonmd [9] cov,sars [9] r_h_ebright,olival [9] olival,one [9] one,very [9] very,sudden Top Word Pairs in Tweet in G5:
[33] sars,cov [31] ho,scoperto [31] scoperto,test [31] test,ematologico [31] ematologico,verificare [31] verificare,presenza [31] presenza,dei [31] dei,linfociti [31] linfociti,specifici [31] specifici,sars Top Word Pairs in Tweet in G6:
[118] sars,cov [24] αναλυτικοί,πίνακες [22] νέες,μολύνσεις [22] μολύνσεις,sars [22] cov,αναλυτικοί [19] η,κατανομή [19] κατανομή,των [16] των,νέων [16] νέων,μολύνσεων [16] μολύνσεων,sars Top Word Pairs in Tweet in G7:
[2] dingo_roberts,rlamartini [2] rlamartini,kicksave24 [2] kicksave24,atheen_ [2] atheen_,amarelowbr [2] amarelowbr,bobbileder [2] bobbileder,drbeen_medical [2] drbeen_medical,dfhappy [2] dfhappy,infinitepfilms [2] sars,cov Top Word Pairs in Tweet in G8:
[54] sars,cov [44] ministarstvo,zdravstva [44] zdravstva,španjolske [44] španjolske,priznalo [44] priznalo,nemamo [44] nemamo,kulturu [44] kulturu,sars [43] deyyanno,ministarstvo [8] nakon,čega [8] čega,ovaj Top Word Pairs in Tweet in G9:
[14] sars,cov [4] cells,against [4] years,later [4] against,covid [3] cov,sars [3] against,sars [2] år,senare [2] immunitet,mot [2] cell,test [2] against,measels Top Word Pairs in Tweet in G10:
[23] dicen,sars [23] sars,cov [23] cov,aislado [23] aislado,normal [23] normal,ande [23] ande,suelto [23] suelto,contagie [23] contagie,embargo [23] embargo,negacionistas [23] negacionistas,dicen Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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:
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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: