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

The present research objective was to analyze the offensive phase from Complex I in high-level 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 analy...

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Autores principales: Rocha, Augusto Cezar Rodrigues, Laporta, Lorenzo, Rodrigues, Geovana Pires, Guimarães, Juracy da Silva, do Nascimento, Marcos Henrique, Rodrigues, Marcelo Couto Jorge, Leonardi, Thiago José, de Lira, Claudio Andre Barbosa, Castro, Henrique de Oliveira, Costa, Gustavo De Conti Teixeira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894390/
https://www.ncbi.nlm.nih.gov/pubmed/36730279
http://dx.doi.org/10.1371/journal.pone.0280365
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author Rocha, Augusto Cezar Rodrigues
Laporta, Lorenzo
Rodrigues, Geovana Pires
Guimarães, Juracy da Silva
do Nascimento, Marcos Henrique
Rodrigues, Marcelo Couto Jorge
Leonardi, Thiago José
de Lira, Claudio Andre Barbosa
Castro, Henrique de Oliveira
Costa, Gustavo De Conti Teixeira
author_facet Rocha, Augusto Cezar Rodrigues
Laporta, Lorenzo
Rodrigues, Geovana Pires
Guimarães, Juracy da Silva
do Nascimento, Marcos Henrique
Rodrigues, Marcelo Couto Jorge
Leonardi, Thiago José
de Lira, Claudio Andre Barbosa
Castro, Henrique de Oliveira
Costa, Gustavo De Conti Teixeira
author_sort Rocha, Augusto Cezar Rodrigues
collection PubMed
description The present research objective was to analyze the offensive phase from Complex I in high-level 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 pubmed-98943902023-02-03 Inter e intra-variability of the best ranked teams: A network analysis in male high-level volleyball Rocha, Augusto Cezar Rodrigues Laporta, Lorenzo Rodrigues, Geovana Pires Guimarães, Juracy da Silva do Nascimento, Marcos Henrique Rodrigues, Marcelo Couto Jorge Leonardi, Thiago José de Lira, Claudio Andre Barbosa Castro, Henrique de Oliveira Costa, Gustavo De Conti Teixeira PLoS One Research Article The present research objective was to analyze the offensive phase from Complex I in high-level 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. Public Library of Science 2023-02-02 /pmc/articles/PMC9894390/ /pubmed/36730279 http://dx.doi.org/10.1371/journal.pone.0280365 Text en © 2023 Rocha et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rocha, Augusto Cezar Rodrigues
Laporta, Lorenzo
Rodrigues, Geovana Pires
Guimarães, Juracy da Silva
do Nascimento, Marcos Henrique
Rodrigues, Marcelo Couto Jorge
Leonardi, Thiago José
de Lira, Claudio Andre Barbosa
Castro, Henrique de Oliveira
Costa, Gustavo De Conti Teixeira
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
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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894390/
https://www.ncbi.nlm.nih.gov/pubmed/36730279
http://dx.doi.org/10.1371/journal.pone.0280365
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