The graph represents a network of 1,487 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, 30 May 2022 at 09:46 UTC.
The requested start date was Monday, 30 May 2022 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, 12-hour, 4-minute period from Monday, 16 May 2022 at 00:06 UTC to Sunday, 29 May 2022 at 12:10 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 : 1487
Unique Edges : 1058
Edges With Duplicates : 1651
Total Edges : 2709
Number of Edge Types : 5
Tweet : 156
Retweet : 675
MentionsInRetweet : 923
Replies to : 188
Mentions : 767
Self-Loops : 164
Reciprocated Vertex Pair Ratio : 0.00948429164196799
Reciprocated Edge Ratio : 0.0187903699354081
Connected Components : 260
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 542
Maximum Edges in a Connected Component : 1322
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.667547
Graph Density : 0.000770699132273332
Modularity : 0.604919
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,487 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, 30 May 2022 at 09:46 UTC.
The requested start date was Monday, 30 May 2022 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, 12-hour, 4-minute period from Monday, 16 May 2022 at 00:06 UTC to Sunday, 29 May 2022 at 12:10 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:
[867] sars,cov [205] cov,viruela [203] gripe,aviar [203] aviar,gripe [203] gripe,porcina [203] porcina,sars [203] viruela,simio [203] simio,etc [203] etc,interacción [203] interacción,humanos Top Word Pairs in Tweet in G1:
[203] gripe,aviar [203] aviar,gripe [203] gripe,porcina [203] porcina,sars [203] sars,cov [203] cov,viruela [203] viruela,simio [203] simio,etc [203] etc,interacción [203] interacción,humanos Top Word Pairs in Tweet in G2:
[76] sars,cov [11] cov,nodexl [11] nodexl,michaelbathurst [8] short,thread [8] thread,apropos [8] apropos,luc [8] luc,montagnier's [8] montagnier's,suggestion [8] suggestion,hiv [8] hiv,inserts Top Word Pairs in Tweet in G3:
[101] délire,quand [101] quand,ce [101] ce,qu'on [101] qu'on,interdit [101] interdit,études [101] études,gains [101] gains,fonction [101] fonction,qu'on [101] qu'on,contrôle [101] contrôle,labos Top Word Pairs in Tweet in G4:
[89] sars,cov [5] cov,infection [5] cov,sars [5] cov,virus [4] mers,cov [4] infection,animal [4] animal,model [4] model,key [4] key,point [4] point,study Top Word Pairs in Tweet in G5:
[5] sars,cov [4] alex_on_a14,isthisnetaken [4] chimera414,itisjustmebabe [4] itisjustmebabe,diar380 [4] diar380,realshocks [4] realshocks,kath2cats [4] kath2cats,756elizabeth [4] 756elizabeth,skepticalprune [4] skepticalprune,shocktraumanp [4] shocktraumanp,kcgetaway7 Top Word Pairs in Tweet in G6:
[43] hepatitis,fulminante [42] fulminante,2004 [42] 2004,weingartl [42] weingartl,colaboradores [42] colaboradores,publicaron [42] publicaron,journal [42] journal,virology [42] virology,reportaron [42] reportaron,modelos [41] linierspo,hepatitis Top Word Pairs in Tweet in G7:
[31] devils_iawyer,saben [31] saben,2004 [31] 2004,conclusiones [31] conclusiones,leer [31] leer,nuestros [31] nuestros,datos [31] datos,sugieren [31] sugieren,vacunación [30] polityzen,devils_iawyer [30] vacunación,ba Top Word Pairs in Tweet in G8:
[30] dica,prova [30] prova,são [30] são,doenças [30] doenças,notificação [30] notificação,compulsória [30] compulsória,sars [30] sars,cov [30] cov,botulismo [30] botulismo,doença [30] doença,chagas Top Word Pairs in Tweet in G10:
[10] sars,cov [2] erfolgreich,eingedämmt [2] h_ungeimpft,jensspahn [2] jensspahn,karl_lauterbach [2] karl_lauterbach,verlinkten [2] verlinkten,studie [2] studie,gesagt [2] gesagt,die [2] die,impfung [2] impfung,effektiv Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
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 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: