Social network measures to match analysis in soccer : a survey

Bibliographic Details
Main Author: Manuel Clemente, Filipe
Publication Date: 2016
Other Authors: M. L. Martins, Fernando, Mendes, Rui, G. M. Silva, Frutuoso
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.26/46751
Summary: 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-02T11:26:25Zoai:comum.rcaap.pt:10400.26/46751Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:46:32.858193Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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