Social network measures to match analysis in soccer : a survey
Autor(a) principal: | |
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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/10400.26/46751 |
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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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 |
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 |
|
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1799133584007626752 |