The graph represents a network of 10,515 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 04 October 2022 at 10:54 UTC.
The requested start date was Tuesday, 04 October 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 3-day, 0-hour, 3-minute period from Friday, 30 September 2022 at 12:16 UTC to Monday, 03 October 2022 at 12:19 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 : 10515
Unique Edges : 5514
Edges With Duplicates : 12096
Total Edges : 17610
Number of Edge Types : 5
Retweet : 5607
MentionsInRetweet : 6475
Replies to : 1252
Tweet : 2404
Mentions : 1872
Self-Loops : 2444
Reciprocated Vertex Pair Ratio : 0.00535811919081465
Reciprocated Edge Ratio : 0.0106591255166413
Connected Components : 2448
Single-Vertex Connected Components : 617
Maximum Vertices in a Connected Component : 1873
Maximum Edges in a Connected Component : 4158
Maximum Geodesic Distance (Diameter) : 40
Average Geodesic Distance : 11.850974
Graph Density : 8.31624450916655E-05
Modularity : 0.570254
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,515 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 04 October 2022 at 10:54 UTC.
The requested start date was Tuesday, 04 October 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 3-day, 0-hour, 3-minute period from Friday, 30 September 2022 at 12:16 UTC to Monday, 03 October 2022 at 12:19 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 : COVID
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:
[1302] covid,19 [292] minha,mãe [270] during,covid [221] minha,família [220] eu,não [208] covid,eu [208] eu,nunca [206] nunca,passei [205] não,perdi [205] passei,necessidade Top Word Pairs in Tweet in G1:
[147] covid,19 [12] mortes,covid [9] during,covid [9] long,covid [9] covid,booster [9] pra,covid [9] pela,covid [9] morreu,covid [9] minha,família [8] falta,ar Top Word Pairs in Tweet in G2:
[283] minha,mãe [201] levava,lanche [200] mãe,votava [200] votava,colégio [200] colégio,em [200] em,trabalho [200] trabalho,mesario [200] mesario,ela [200] ela,levava [200] lanche,quando Top Word Pairs in Tweet in G3:
[153] brasil,veio [153] veio,havan [153] havan,viu [153] viu,própria [153] própria,mãe [153] mãe,morrer [153] morrer,covid [153] covid,vota [153] vota,sorrindo [153] sorrindo,responsável Top Word Pairs in Tweet in G4:
[30] national,cabinet [30] covid,isolation [30] covid,19 [23] long,covid [22] scrap,mandatory [19] decision,scrap [18] mandatory,covid [13] mandatory,isolation [13] public,health [11] health,care Top Word Pairs in Tweet in G5:
[197] eu,não [196] não,perdi [196] perdi,nenhum [196] nenhum,parente [196] parente,covid [196] covid,eu [196] eu,nunca [196] nunca,passei [196] passei,necessidade [196] necessidade,eu Top Word Pairs in Tweet in G6:
[103] covid,19 [25] buenos,días [23] niños,niñas [23] nuestros,niños [19] ejb_cavcm,#covid [19] uso,adecuado [19] adecuado,mascarilla [19] mascarilla,indica [19] indica,métodos [19] métodos,preventivos Top Word Pairs in Tweet in G7:
[160] manuelrico,hoy [110] días,gobierno [110] gobierno,ayuso [110] ayuso,aprobó [110] aprobó,protocolo [110] protocolo,impedía [110] impedía,trasladar [110] trasladar,hospital [110] hospital,residentes [105] residentes,vulnerab Top Word Pairs in Tweet in G8:
[81] mês,antes [81] antes,falecer [81] falecer,covid [81] covid,aos [81] aos,24 [81] 24,anos [81] anos,meu [81] meu,amigo [81] amigo,vinícius [81] vinícius,brincou Top Word Pairs in Tweet in G9:
[12] 10,covid [12] covid,truths [12] truths,health [12] health,officials [12] officials,failed [12] failed,inform [12] inform,public [12] public,airborne [12] airborne,high [12] high,quality Top Word Pairs in Tweet in G10:
[33] millions,doses [32] 30,millions [32] doses,vaccins [24] devoir,jeter [24] jeter,près [24] près,30 [24] vaccins,19 [24] 19,50 [24] 50,dose [24] dose,585 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: