The graph represents a network of 1,555 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, 02 June 2022 at 10:48 UTC.
The requested start date was Thursday, 02 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, 11-hour, 45-minute period from Thursday, 19 May 2022 at 00:19 UTC to Wednesday, 01 June 2022 at 12:04 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 : 1555
Unique Edges : 1186
Edges With Duplicates : 1820
Total Edges : 3006
Number of Edge Types : 5
Replies to : 188
Mentions : 945
Retweet : 715
MentionsInRetweet : 1008
Tweet : 150
Self-Loops : 158
Reciprocated Vertex Pair Ratio : 0.0139709833422891
Reciprocated Edge Ratio : 0.0275569687334393
Connected Components : 244
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 564
Maximum Edges in a Connected Component : 1360
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.74997
Graph Density : 0.000780891134588884
Modularity : 0.597277
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,555 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, 02 June 2022 at 10:48 UTC.
The requested start date was Thursday, 02 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, 11-hour, 45-minute period from Thursday, 19 May 2022 at 00:19 UTC to Wednesday, 01 June 2022 at 12:04 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:
[892] 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:
[72] sars,cov [16] cov,nodexl [13] jikkyleaks,daoyu15 [13] juancarlossaid,jlesgards [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:
[100] délire,quand [100] quand,ce [100] ce,qu'on [100] qu'on,interdit [100] interdit,études [100] études,gains [100] gains,fonction [100] fonction,qu'on [100] qu'on,contrôle [100] contrôle,labos Top Word Pairs in Tweet in G4:
[91] sars,cov [10] cov,sars [7] human,monoclonal [7] monoclonal,antibody [6] broadly,neutralize [6] neutralize,several [6] several,variants [6] variants,sars [6] cov,coronaviruses [5] cov,virus Top Word Pairs in Tweet in G5:
[8] sars,cov [6] alex_on_a14,isthisnetaken [6] itisjustmebabe,diar380 [6] diar380,realshocks [6] 756elizabeth,skepticalprune [6] skepticalprune,shocktraumanp [6] shocktraumanp,kcgetaway7 [6] kcgetaway7,randomurban [5] randomurban,wendyorent [4] aspalaasnasntyr,andylumm 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:
[31] 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 [9] personas,asintomáticas Top Word Pairs in Tweet in G8:
[13] sars,cov [2] wdr,bullshit [2] bullshit,laut [2] laut,mehreren [2] mehreren,studien [2] studien,kleinkinder [2] kleinkinder,selten [2] selten,ernsthaft [2] ernsthaft,sars [2] cov,viren Top Word Pairs in Tweet in G9:
[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 G10:
[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 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:
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: