Social network measures to match analysis in soccer : a survey

Detalhes bibliográficos
Autor(a) principal: Manuel Clemente, Filipe
Data de Publicação: 2016
Outros Autores: M. L. Martins, Fernando, Mendes, Rui, G. M. Silva, Frutuoso
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/46751
Resumo: In this study we will present the most common and adequate network measures to analyse graph properties and to inspect the prominence of each player on a soccer team. Both approaches can provide a range of useful information. This kind of analysis will help to identify the prominence of players and also characterize the collective organization and patterns of the teams. General measures and centrality levels will be described and the applications will be discussed. By using social network analysis will be possible to quantify the structure of play and predict some behaviour. Such methodology will add new options to the field of match analysis.
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spelling Social network measures to match analysis in soccer : a surveygraph theorynetwork analysisteam sportsmatch analysisIn this study we will present the most common and adequate network measures to analyse graph properties and to inspect the prominence of each player on a soccer team. Both approaches can provide a range of useful information. This kind of analysis will help to identify the prominence of players and also characterize the collective organization and patterns of the teams. General measures and centrality levels will be described and the applications will be discussed. By using social network analysis will be possible to quantify the structure of play and predict some behaviour. Such methodology will add new options to the field of match analysis.[Editura Universitatea din Pitesti]Repositório ComumManuel Clemente, FilipeM. L. Martins, FernandoMendes, RuiG. M. Silva, Frutuoso2023-09-26T11:06:08Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/46751eng10.7752/jpes.2016.03130info: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:RCAAP2023-09-28T02:17:05Zoai:comum.rcaap.pt:10400.26/46751Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:31:34.748169Repositório 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 Social network measures to match analysis in soccer : a survey
title Social network measures to match analysis in soccer : a survey
spellingShingle Social network measures to match analysis in soccer : a survey
Manuel Clemente, Filipe
graph theory
network analysis
team sports
match analysis
title_short Social network measures to match analysis in soccer : a survey
title_full Social network measures to match analysis in soccer : a survey
title_fullStr Social network measures to match analysis in soccer : a survey
title_full_unstemmed Social network measures to match analysis in soccer : a survey
title_sort Social network measures to match analysis in soccer : a survey
author Manuel Clemente, Filipe
author_facet Manuel Clemente, Filipe
M. L. Martins, Fernando
Mendes, Rui
G. M. Silva, Frutuoso
author_role author
author2 M. L. Martins, Fernando
Mendes, Rui
G. M. Silva, Frutuoso
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Manuel Clemente, Filipe
M. L. Martins, Fernando
Mendes, Rui
G. M. Silva, Frutuoso
dc.subject.por.fl_str_mv graph theory
network analysis
team sports
match analysis
topic graph theory
network analysis
team sports
match analysis
description In this study we will present the most common and adequate network measures to analyse graph properties and to inspect the prominence of each player on a soccer team. Both approaches can provide a range of useful information. This kind of analysis will help to identify the prominence of players and also characterize the collective organization and patterns of the teams. General measures and centrality levels will be described and the applications will be discussed. By using social network analysis will be possible to quantify the structure of play and predict some behaviour. Such methodology will add new options to the field of match analysis.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2023-09-26T11:06:08Z
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/10400.26/46751
url http://hdl.handle.net/10400.26/46751
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.7752/jpes.2016.03130
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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)
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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
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