What’s next in complex networks? Capturing the concept of attacking play in invasive team sports

Detalhes bibliográficos
Autor(a) principal: Ramos, J.
Data de Publicação: 2018
Outros Autores: Lopes, R. J., Araújo, D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/14879
Resumo: The evolution of performance analysis within sports sciences is tied to technology development and practitioner demands. However, how individual and collective patterns self-organize and interact in invasive team sports remains elusive. Social network analysis has been recently proposed to resolve some aspects of this problem, and has proven successful in capturing collective features resulting from the interactions between team members as well as a powerful communication tool. Despite these advances, some fundamental team sports concepts such as an attacking play have not been properly captured by the more common applications of social network analysis to team sports performance. In this article, we propose a novel approach to team sports performance centered on sport concepts, namely that of an attacking play. Network theory and tools including temporal and bipartite or multilayered networks were used to capture this concept. We put forward eight questions directly related to team performance to discuss how common pitfalls in the use of network tools for capturing sports concepts can be avoided. Some answers are advanced in an attempt to be more precise in the description of team dynamics and to uncover other metrics directly applied to sport concepts, such as the structure and dynamics of attacking plays. Finally, we propose that, at this stage of knowledge, it may be advantageous to build up from fundamental sport concepts toward complex network theory and tools, and not the other way around.
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spelling What’s next in complex networks? Capturing the concept of attacking play in invasive team sportsComplex networksPerformance AnalysisHypernetworksMultilayer networksThe evolution of performance analysis within sports sciences is tied to technology development and practitioner demands. However, how individual and collective patterns self-organize and interact in invasive team sports remains elusive. Social network analysis has been recently proposed to resolve some aspects of this problem, and has proven successful in capturing collective features resulting from the interactions between team members as well as a powerful communication tool. Despite these advances, some fundamental team sports concepts such as an attacking play have not been properly captured by the more common applications of social network analysis to team sports performance. In this article, we propose a novel approach to team sports performance centered on sport concepts, namely that of an attacking play. Network theory and tools including temporal and bipartite or multilayered networks were used to capture this concept. We put forward eight questions directly related to team performance to discuss how common pitfalls in the use of network tools for capturing sports concepts can be avoided. Some answers are advanced in an attempt to be more precise in the description of team dynamics and to uncover other metrics directly applied to sport concepts, such as the structure and dynamics of attacking plays. Finally, we propose that, at this stage of knowledge, it may be advantageous to build up from fundamental sport concepts toward complex network theory and tools, and not the other way around.Springer2018-01-08T10:21:34Z2018-01-01T00:00:00Z20182019-03-07T15:34:36Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/14879eng0112-164210.1007/s40279-017-0786-zRamos, J.Lopes, R. J.Araújo, D.info: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:RCAAP2023-11-09T17:36:15Zoai:repositorio.iscte-iul.pt:10071/14879Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:16:27.003281Repositório 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 What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
title What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
spellingShingle What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
Ramos, J.
Complex networks
Performance Analysis
Hypernetworks
Multilayer networks
title_short What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
title_full What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
title_fullStr What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
title_full_unstemmed What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
title_sort What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
author Ramos, J.
author_facet Ramos, J.
Lopes, R. J.
Araújo, D.
author_role author
author2 Lopes, R. J.
Araújo, D.
author2_role author
author
dc.contributor.author.fl_str_mv Ramos, J.
Lopes, R. J.
Araújo, D.
dc.subject.por.fl_str_mv Complex networks
Performance Analysis
Hypernetworks
Multilayer networks
topic Complex networks
Performance Analysis
Hypernetworks
Multilayer networks
description The evolution of performance analysis within sports sciences is tied to technology development and practitioner demands. However, how individual and collective patterns self-organize and interact in invasive team sports remains elusive. Social network analysis has been recently proposed to resolve some aspects of this problem, and has proven successful in capturing collective features resulting from the interactions between team members as well as a powerful communication tool. Despite these advances, some fundamental team sports concepts such as an attacking play have not been properly captured by the more common applications of social network analysis to team sports performance. In this article, we propose a novel approach to team sports performance centered on sport concepts, namely that of an attacking play. Network theory and tools including temporal and bipartite or multilayered networks were used to capture this concept. We put forward eight questions directly related to team performance to discuss how common pitfalls in the use of network tools for capturing sports concepts can be avoided. Some answers are advanced in an attempt to be more precise in the description of team dynamics and to uncover other metrics directly applied to sport concepts, such as the structure and dynamics of attacking plays. Finally, we propose that, at this stage of knowledge, it may be advantageous to build up from fundamental sport concepts toward complex network theory and tools, and not the other way around.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-08T10:21:34Z
2018-01-01T00:00:00Z
2018
2019-03-07T15:34:36Z
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10.1007/s40279-017-0786-z
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