Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball

Detalhes bibliográficos
Autor(a) principal: Rocha, Augusto Cezar Rodrigues
Data de Publicação: 2023
Outros Autores: Laporta, Lorenzo Iop, Rodrigues, Geovana Pires, Guimarães, Juracy da Silva, Nascimento, Marcos Henrique do, Rodrigues, Marcelo Couto Jorge, Leonardi, Thiago José, Lira, Claudio Andre Barbosa de, Castro, Henrique de Oliveira, Costa, Gustavo De Conti Teixeira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/267728
Resumo: The present research objective was to analyze the offensive phase from Complex I in highlevel male volleyball teams in a macro- and micro-level view, through the inter e intra-team variability analysis of eight best teams of the 2018 Men’s Volleyball World Championship over the social network analysis and eigenvector centrality. The sample consisted of 22 matches and 2,743 offensive actions, resulting in 8 sub-networks with 368 nodes and 6221 edges. The results showed from macro view the variables that presented highest centrality values were Attack Zone 4 (range 0.56–0.90), Attack Tempo 2 (0.65–0.87), Power Attack (0.62–0.94), No Touch Block (0.61–1), Attack Effect Continuity (0.59–0.94), and Middle Blocker Centralized (0.60–0.95). In a micro view, Reception Effect, Play Position, Reception Zone, and Block Composition showed high variability in each sub-network. The intra- and inter-team variability presented the importance of to respect each team idiosyncrasies and to consider the different approaches to the game and success.
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spelling Rocha, Augusto Cezar RodriguesLaporta, Lorenzo IopRodrigues, Geovana PiresGuimarães, Juracy da SilvaNascimento, Marcos Henrique doRodrigues, Marcelo Couto JorgeLeonardi, Thiago JoséLira, Claudio Andre Barbosa deCastro, Henrique de OliveiraCosta, Gustavo De Conti Teixeira2023-11-28T03:23:27Z20231932-6203http://hdl.handle.net/10183/267728001175051The present research objective was to analyze the offensive phase from Complex I in highlevel male volleyball teams in a macro- and micro-level view, through the inter e intra-team variability analysis of eight best teams of the 2018 Men’s Volleyball World Championship over the social network analysis and eigenvector centrality. The sample consisted of 22 matches and 2,743 offensive actions, resulting in 8 sub-networks with 368 nodes and 6221 edges. The results showed from macro view the variables that presented highest centrality values were Attack Zone 4 (range 0.56–0.90), Attack Tempo 2 (0.65–0.87), Power Attack (0.62–0.94), No Touch Block (0.61–1), Attack Effect Continuity (0.59–0.94), and Middle Blocker Centralized (0.60–0.95). In a micro view, Reception Effect, Play Position, Reception Zone, and Block Composition showed high variability in each sub-network. The intra- and inter-team variability presented the importance of to respect each team idiosyncrasies and to consider the different approaches to the game and success.application/pdfengPloS one. San Francisco. Vol. 18, no. 2 (Feb. 2023), e0280365, 16 p.VoleibolPerformanceInter e intra-variability of the best ranked teams : a network analysis in male high-level volleyballEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001175051.pdf.txt001175051.pdf.txtExtracted Texttext/plain56497http://www.lume.ufrgs.br/bitstream/10183/267728/2/001175051.pdf.txt51fc2ca4b34c8c33e1c060d19b635e17MD52ORIGINAL001175051.pdfTexto completo (inglês)application/pdf2860949http://www.lume.ufrgs.br/bitstream/10183/267728/1/001175051.pdf1bde22f613afaf9dc0327bb0ce35587aMD5110183/2677282024-02-17 05:55:33.473811oai:www.lume.ufrgs.br:10183/267728Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-02-17T07:55:33Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
title Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
spellingShingle Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
Rocha, Augusto Cezar Rodrigues
Voleibol
Performance
title_short Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
title_full Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
title_fullStr Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
title_full_unstemmed Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
title_sort Inter e intra-variability of the best ranked teams : a network analysis in male high-level volleyball
author Rocha, Augusto Cezar Rodrigues
author_facet Rocha, Augusto Cezar Rodrigues
Laporta, Lorenzo Iop
Rodrigues, Geovana Pires
Guimarães, Juracy da Silva
Nascimento, Marcos Henrique do
Rodrigues, Marcelo Couto Jorge
Leonardi, Thiago José
Lira, Claudio Andre Barbosa de
Castro, Henrique de Oliveira
Costa, Gustavo De Conti Teixeira
author_role author
author2 Laporta, Lorenzo Iop
Rodrigues, Geovana Pires
Guimarães, Juracy da Silva
Nascimento, Marcos Henrique do
Rodrigues, Marcelo Couto Jorge
Leonardi, Thiago José
Lira, Claudio Andre Barbosa de
Castro, Henrique de Oliveira
Costa, Gustavo De Conti Teixeira
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rocha, Augusto Cezar Rodrigues
Laporta, Lorenzo Iop
Rodrigues, Geovana Pires
Guimarães, Juracy da Silva
Nascimento, Marcos Henrique do
Rodrigues, Marcelo Couto Jorge
Leonardi, Thiago José
Lira, Claudio Andre Barbosa de
Castro, Henrique de Oliveira
Costa, Gustavo De Conti Teixeira
dc.subject.por.fl_str_mv Voleibol
Performance
topic Voleibol
Performance
description The present research objective was to analyze the offensive phase from Complex I in highlevel male volleyball teams in a macro- and micro-level view, through the inter e intra-team variability analysis of eight best teams of the 2018 Men’s Volleyball World Championship over the social network analysis and eigenvector centrality. The sample consisted of 22 matches and 2,743 offensive actions, resulting in 8 sub-networks with 368 nodes and 6221 edges. The results showed from macro view the variables that presented highest centrality values were Attack Zone 4 (range 0.56–0.90), Attack Tempo 2 (0.65–0.87), Power Attack (0.62–0.94), No Touch Block (0.61–1), Attack Effect Continuity (0.59–0.94), and Middle Blocker Centralized (0.60–0.95). In a micro view, Reception Effect, Play Position, Reception Zone, and Block Composition showed high variability in each sub-network. The intra- and inter-team variability presented the importance of to respect each team idiosyncrasies and to consider the different approaches to the game and success.
publishDate 2023
dc.date.accessioned.fl_str_mv 2023-11-28T03:23:27Z
dc.date.issued.fl_str_mv 2023
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dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
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dc.relation.ispartof.pt_BR.fl_str_mv PloS one. San Francisco. Vol. 18, no. 2 (Feb. 2023), e0280365, 16 p.
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