The graph represents a network of 1,544 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, 01 June 2022 at 09:02 UTC.
The requested start date was Wednesday, 01 June 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, 10-hour, 56-minute period from Wednesday, 18 May 2022 at 00:24 UTC to Tuesday, 31 May 2022 at 11:20 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 : 1544
Unique Edges : 1171
Edges With Duplicates : 1667
Total Edges : 2838
Number of Edge Types : 5
Retweet : 699
MentionsInRetweet : 988
Replies to : 186
Mentions : 816
Tweet : 149
Self-Loops : 157
Reciprocated Vertex Pair Ratio : 0.0127212389380531
Reciprocated Edge Ratio : 0.0251228836701256
Connected Components : 249
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 528
Maximum Edges in a Connected Component : 1274
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.551784
Graph Density : 0.000768555300722971
Modularity : 0.611511
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,544 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, 01 June 2022 at 09:02 UTC.
The requested start date was Wednesday, 01 June 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, 10-hour, 56-minute period from Wednesday, 18 May 2022 at 00:24 UTC to Tuesday, 31 May 2022 at 11:20 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:
[884] 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:
[67] sars,cov [16] cov,nodexl [13] juancarlossaid,jlesgards [13] jikkyleaks,daoyu15 [10] michaelbathurst,sars [10] nodexl,michaelbathurst [8] daoyu15,aemangus91 [8] short,thread [8] thread,apropos [8] apropos,luc 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 [8] cov,sars [6] cov,infection [5] mers,cov [5] cov,virus [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:
[45] hepatitis,fulminante [44] fulminante,2004 [44] 2004,weingartl [44] weingartl,colaboradores [44] colaboradores,publicaron [44] publicaron,journal [44] journal,virology [44] virology,reportaron [44] reportaron,modelos [43] linierspo,hepatitis Top Word Pairs in Tweet in G7:
[27] sars,cov [17] cov,virus [16] virus,16 [16] 16,mortalidad [16] mortalidad,cifra [16] cifra,baja [16] baja,tío [16] tío,tonto [15] dr_pilgrim,sars [5] personas,asintomáticas Top Word Pairs in Tweet in G8:
[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 G9:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: