The social network analysis of Switzerland football team on FIFA World Cup 2014

Detalhes bibliográficos
Autor(a) principal: Manuel Clemente, Filipe
Data de Publicação: 2015
Outros Autores: M. L. Martins, Fernando, Kalamaras, Dimitris, Oliveira, Joana, Oliveira, Patrícia, Mendes, Rui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/46749
Resumo: The aim of this study was to apply the social network analysis approach to the football match analysis case. For such, it was analyzed the Switzerland national football team during the FIFA World Cup 2014 tournament. Two general network metrics (total links and network density) and two centrality metrics (degree centrality and degree prestige) were computed. Four matches from Switzerland in FIFA World Cup 2014 were analysed in this study. A total of 334 adjacency matrices corresponding to 334 units of attack were generated based on the teammates’ interactions and then converted in 4 network graphs. A total of 1129 passes were analysed. The greatest value of total links and network density was achieved in the first match (88 total links and 0.80 of density value). Degree centrality revealed that the defenders and midfielders were the players with greatest prominent values in the attacking building. Degree prestige showed that midfielders were the main targets of the team to pass the ball in the attacking process. In summary, this study showed that centrality metrics can be an important tool in match analysis to identify the style of play of football teams, revealing the most prominent tactical roles in the attacking process.
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spelling The social network analysis of Switzerland football team on FIFA World Cup 2014match analysisfootballnetworkcooperationperformanceThe aim of this study was to apply the social network analysis approach to the football match analysis case. For such, it was analyzed the Switzerland national football team during the FIFA World Cup 2014 tournament. Two general network metrics (total links and network density) and two centrality metrics (degree centrality and degree prestige) were computed. Four matches from Switzerland in FIFA World Cup 2014 were analysed in this study. A total of 334 adjacency matrices corresponding to 334 units of attack were generated based on the teammates’ interactions and then converted in 4 network graphs. A total of 1129 passes were analysed. The greatest value of total links and network density was achieved in the first match (88 total links and 0.80 of density value). Degree centrality revealed that the defenders and midfielders were the players with greatest prominent values in the attacking building. Degree prestige showed that midfielders were the main targets of the team to pass the ball in the attacking process. In summary, this study showed that centrality metrics can be an important tool in match analysis to identify the style of play of football teams, revealing the most prominent tactical roles in the attacking process.[Editura Universitatea din Pitesti]Repositório ComumManuel Clemente, FilipeM. L. Martins, FernandoKalamaras, DimitrisOliveira, JoanaOliveira, PatríciaMendes, Rui2023-09-26T10:35:42Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/46749eng10.7752/jpes.2015.01022info: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:RCAAP2023-09-28T02:17:04Zoai:comum.rcaap.pt:10400.26/46749Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:31:34.703015Repositório 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 The social network analysis of Switzerland football team on FIFA World Cup 2014
title The social network analysis of Switzerland football team on FIFA World Cup 2014
spellingShingle The social network analysis of Switzerland football team on FIFA World Cup 2014
Manuel Clemente, Filipe
match analysis
football
network
cooperation
performance
title_short The social network analysis of Switzerland football team on FIFA World Cup 2014
title_full The social network analysis of Switzerland football team on FIFA World Cup 2014
title_fullStr The social network analysis of Switzerland football team on FIFA World Cup 2014
title_full_unstemmed The social network analysis of Switzerland football team on FIFA World Cup 2014
title_sort The social network analysis of Switzerland football team on FIFA World Cup 2014
author Manuel Clemente, Filipe
author_facet Manuel Clemente, Filipe
M. L. Martins, Fernando
Kalamaras, Dimitris
Oliveira, Joana
Oliveira, Patrícia
Mendes, Rui
author_role author
author2 M. L. Martins, Fernando
Kalamaras, Dimitris
Oliveira, Joana
Oliveira, Patrícia
Mendes, Rui
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Manuel Clemente, Filipe
M. L. Martins, Fernando
Kalamaras, Dimitris
Oliveira, Joana
Oliveira, Patrícia
Mendes, Rui
dc.subject.por.fl_str_mv match analysis
football
network
cooperation
performance
topic match analysis
football
network
cooperation
performance
description The aim of this study was to apply the social network analysis approach to the football match analysis case. For such, it was analyzed the Switzerland national football team during the FIFA World Cup 2014 tournament. Two general network metrics (total links and network density) and two centrality metrics (degree centrality and degree prestige) were computed. Four matches from Switzerland in FIFA World Cup 2014 were analysed in this study. A total of 334 adjacency matrices corresponding to 334 units of attack were generated based on the teammates’ interactions and then converted in 4 network graphs. A total of 1129 passes were analysed. The greatest value of total links and network density was achieved in the first match (88 total links and 0.80 of density value). Degree centrality revealed that the defenders and midfielders were the players with greatest prominent values in the attacking building. Degree prestige showed that midfielders were the main targets of the team to pass the ball in the attacking process. In summary, this study showed that centrality metrics can be an important tool in match analysis to identify the style of play of football teams, revealing the most prominent tactical roles in the attacking process.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2023-09-26T10:35:42Z
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/10400.26/46749
url http://hdl.handle.net/10400.26/46749
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.7752/jpes.2015.01022
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
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