Social Network Analysis: Understanding Volleyball Dynamics through Match Opponents

Author:

do Nascimento Marcos Henrique1,Castro Henrique de Oliveira2ORCID,Rocha Augusto Cézar Rodrigues1,Freire Auro Barreiros3,Pedrosa Gustavo Ferreira4ORCID,Ugrinowitsch Herbert5ORCID,Savassi Figueiredo Lucas6ORCID,Laporta Lorenzo7ORCID,Costa Gustavo De Conti Teixeira1ORCID

Affiliation:

1. Núcleo de Estudo e Pesquisa Avançada em Esportes, Universidade Federal de Goiás, Goiânia 74690-900, Brazil

2. Grupo de Estudos e Pesquisas em Educação Física e Esportes, Universidade Federal de Mato Grosso, Cuiabá 78060-900, Brazil

3. Departamento de Educação Física, Centro Universitário UNA, Belo Horizonte 30140-071, Brazil

4. Grupo de Pesquisa Aplicada em Treinamento de Força, Universidade Federal de Santa Maria, Santa Maria 97105-900, Brazil

5. Departamento de Esportes, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil

6. Departamento de Educação Física, Universidade Federal de Juiz de Fora, Governador Valadares 35010-180, Brazil

7. Núcleo de Estudos em Performance Analysis Esportiva, Universidade Federal de Santa Maria, Santa Maria 97105-900, Brazil

Abstract

The current investigation scrutinized the strategic approaches employed by the top four teams in the Brazilian Men’s Volleyball Superliga, according to the match’s opponent. The study encompasses the analysis of 22 matches, involving teams ranked first through fourth, competing against each of the 12 teams participating in the 21–22 season of the Brazilian Men’s Volleyball Superliga, including one home and one away match for each team. Social network analysis facilitated the identification of the interconnections and particularities among all variables, offering a comprehensive perspective. The findings unveiled that during the offensive phase, the second-, third-, and fourth-ranked teams consistently exhibited higher eigenvector values, irrespective of the opposing team, notably when the middle-blocker positioned themselves in front and near the setter. Conversely, the championship-winning team displayed variations in offensive tactics. The team securing the second position demonstrated alterations in setting placement, whereas the other teams executed settings aimed at zones 3 and 4. Additionally, the initial setter’s position at the commencement of a rally displayed varying eigenvector values based on the opponent, indicating team rotation as a performance determinant. Thus, barring the finalist team, the performance of the remaining teams is intricately intertwined with the individual characteristics of players.

Publisher

MDPI AG

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