Identifying the centrality levels of futsal players : a network approach
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/46867 |
Resumo: | The aim of this study it was verify the differences of prominence levels between tactical positions in futsal (indoor football). For that reason, it was performed an analysis of variance between competitive levels and tactical positions for the centrality metrics computed by using network analysis. Forty-six futsal players from different competitive levels (U12, U14, U16 and Amateurs) it were analysed during three official futsal matches. Results revealed no differences in centrality metrics between competitive levels (p = 1.00; = 0.001; very small effect size) had no significant statistical differences in the centrality metrics. Nevertheless, tactical position (p = 0.001; = 0.593; moderate effect size) had significant main effects on the centrality metrics. Centrality metrics revealed that defenders are the most prominent players in to receive the ball. By the other hand, defenders and wings are the positions with greater centralities in to pass the ball for the teammates. |
id |
RCAP_c3416dc42ae81fb5c716a4eef354887b |
---|---|
oai_identifier_str |
oai:comum.rcaap.pt:10400.26/46867 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Identifying the centrality levels of futsal players : a network approachGraph TheoryAdjacency MatricesNetwork analysisPerformancePassesThe aim of this study it was verify the differences of prominence levels between tactical positions in futsal (indoor football). For that reason, it was performed an analysis of variance between competitive levels and tactical positions for the centrality metrics computed by using network analysis. Forty-six futsal players from different competitive levels (U12, U14, U16 and Amateurs) it were analysed during three official futsal matches. Results revealed no differences in centrality metrics between competitive levels (p = 1.00; = 0.001; very small effect size) had no significant statistical differences in the centrality metrics. Nevertheless, tactical position (p = 0.001; = 0.593; moderate effect size) had significant main effects on the centrality metrics. Centrality metrics revealed that defenders are the most prominent players in to receive the ball. By the other hand, defenders and wings are the positions with greater centralities in to pass the ball for the teammates.[Editura Universitatea din Pitesti]Repositório ComumOliveira, PatríciaManuel Clemente, FilipeM. L. Martins, Fernando2023-09-29T09:23:44Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/46867eng10.7752/jpes.2016.01002info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-05T02:16:07Zoai:comum.rcaap.pt:10400.26/46867Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:33:19.907382Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Identifying the centrality levels of futsal players : a network approach |
title |
Identifying the centrality levels of futsal players : a network approach |
spellingShingle |
Identifying the centrality levels of futsal players : a network approach Oliveira, Patrícia Graph Theory Adjacency Matrices Network analysis Performance Passes |
title_short |
Identifying the centrality levels of futsal players : a network approach |
title_full |
Identifying the centrality levels of futsal players : a network approach |
title_fullStr |
Identifying the centrality levels of futsal players : a network approach |
title_full_unstemmed |
Identifying the centrality levels of futsal players : a network approach |
title_sort |
Identifying the centrality levels of futsal players : a network approach |
author |
Oliveira, Patrícia |
author_facet |
Oliveira, Patrícia Manuel Clemente, Filipe M. L. Martins, Fernando |
author_role |
author |
author2 |
Manuel Clemente, Filipe M. L. Martins, Fernando |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Oliveira, Patrícia Manuel Clemente, Filipe M. L. Martins, Fernando |
dc.subject.por.fl_str_mv |
Graph Theory Adjacency Matrices Network analysis Performance Passes |
topic |
Graph Theory Adjacency Matrices Network analysis Performance Passes |
description |
The aim of this study it was verify the differences of prominence levels between tactical positions in futsal (indoor football). For that reason, it was performed an analysis of variance between competitive levels and tactical positions for the centrality metrics computed by using network analysis. Forty-six futsal players from different competitive levels (U12, U14, U16 and Amateurs) it were analysed during three official futsal matches. Results revealed no differences in centrality metrics between competitive levels (p = 1.00; = 0.001; very small effect size) had no significant statistical differences in the centrality metrics. Nevertheless, tactical position (p = 0.001; = 0.593; moderate effect size) had significant main effects on the centrality metrics. Centrality metrics revealed that defenders are the most prominent players in to receive the ball. By the other hand, defenders and wings are the positions with greater centralities in to pass the ball for the teammates. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2016-01-01T00:00:00Z 2023-09-29T09:23:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/46867 |
url |
http://hdl.handle.net/10400.26/46867 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.7752/jpes.2016.01002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
[Editura Universitatea din Pitesti] |
publisher.none.fl_str_mv |
[Editura Universitatea din Pitesti] |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133598373117952 |