A multilevel hypernetworks approach to capture meso-level synchronisation processes in football

Detalhes bibliográficos
Autor(a) principal: Ribeiro, J.
Data de Publicação: 2020
Outros Autores: Lopes, R. J., Silva, P., Araújo, D., Barreira, D., Davids, K., Ramos, J., Maia, J., Garganta, J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/20345
Resumo: Understanding team behaviours in sports performance requires understanding the interdependencies established between their levels of complexity (micro-meso-macro). Previously, most studies examined interactions emerging at micro- and macro-levels, thus neglecting those emerging at a meso-level (reveals connections between player and team levels, depicted by the emergence of coordination in specific sub-groups of players–simplices during performance). We addressed this issue using the multi- level hypernetworks approach, adopting a cluster-phase method, to record player-simplice synchronies in two performance conditions where the number, size and location of goals were manipulated (first- condition: 6 × 6 + 4 mini-goals; second-condition: Gk + 6 × 6 + Gk). We investigated meso-level coordination tendencies, as a function of ball-possession (attacking/defending), field-direction (long- itudinal/lateral) and teams (Team A/Team B). Generally, large synergistic relations and more stable patterns were observed in the longitudinal direction of the field than the lateral direction for both teams, and for both game phases in the first condition. The second condition displayed higher synchro- nies and more stable patterns in the lateral direction than the longitudinal plane for both teams, and for both game phases. Results suggest: (i) usefulness of hypernetworks in assessing synchronisation of teams at a meso-level; (ii) coaches may consider manipulating these task constraints to develop levels of local synchronies within teams.
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spelling A multilevel hypernetworks approach to capture meso-level synchronisation processes in footballMultilevel hypernetworksMeso-levelEmergent synchronisation tendenciesTeam sportsAssociation footballUnderstanding team behaviours in sports performance requires understanding the interdependencies established between their levels of complexity (micro-meso-macro). Previously, most studies examined interactions emerging at micro- and macro-levels, thus neglecting those emerging at a meso-level (reveals connections between player and team levels, depicted by the emergence of coordination in specific sub-groups of players–simplices during performance). We addressed this issue using the multi- level hypernetworks approach, adopting a cluster-phase method, to record player-simplice synchronies in two performance conditions where the number, size and location of goals were manipulated (first- condition: 6 × 6 + 4 mini-goals; second-condition: Gk + 6 × 6 + Gk). We investigated meso-level coordination tendencies, as a function of ball-possession (attacking/defending), field-direction (long- itudinal/lateral) and teams (Team A/Team B). Generally, large synergistic relations and more stable patterns were observed in the longitudinal direction of the field than the lateral direction for both teams, and for both game phases in the first condition. The second condition displayed higher synchro- nies and more stable patterns in the lateral direction than the longitudinal plane for both teams, and for both game phases. Results suggest: (i) usefulness of hypernetworks in assessing synchronisation of teams at a meso-level; (ii) coaches may consider manipulating these task constraints to develop levels of local synchronies within teams.Taylor and Francis2020-12-25T00:00:00Z2020-01-01T00:00:00Z20202020-04-09T18:09:59Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/20345eng0264-041410.1080/02640414.2019.1707399Ribeiro, J.Lopes, R. J.Silva, P.Araújo, D.Barreira, D.Davids, K.Ramos, J.Maia, J.Garganta, J.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:RCAAP2023-11-09T17:59:46Zoai:repositorio.iscte-iul.pt:10071/20345Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:31:27.497312Repositório 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 A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
title A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
spellingShingle A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
Ribeiro, J.
Multilevel hypernetworks
Meso-level
Emergent synchronisation tendencies
Team sports
Association football
title_short A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
title_full A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
title_fullStr A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
title_full_unstemmed A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
title_sort A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
author Ribeiro, J.
author_facet Ribeiro, J.
Lopes, R. J.
Silva, P.
Araújo, D.
Barreira, D.
Davids, K.
Ramos, J.
Maia, J.
Garganta, J.
author_role author
author2 Lopes, R. J.
Silva, P.
Araújo, D.
Barreira, D.
Davids, K.
Ramos, J.
Maia, J.
Garganta, J.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro, J.
Lopes, R. J.
Silva, P.
Araújo, D.
Barreira, D.
Davids, K.
Ramos, J.
Maia, J.
Garganta, J.
dc.subject.por.fl_str_mv Multilevel hypernetworks
Meso-level
Emergent synchronisation tendencies
Team sports
Association football
topic Multilevel hypernetworks
Meso-level
Emergent synchronisation tendencies
Team sports
Association football
description Understanding team behaviours in sports performance requires understanding the interdependencies established between their levels of complexity (micro-meso-macro). Previously, most studies examined interactions emerging at micro- and macro-levels, thus neglecting those emerging at a meso-level (reveals connections between player and team levels, depicted by the emergence of coordination in specific sub-groups of players–simplices during performance). We addressed this issue using the multi- level hypernetworks approach, adopting a cluster-phase method, to record player-simplice synchronies in two performance conditions where the number, size and location of goals were manipulated (first- condition: 6 × 6 + 4 mini-goals; second-condition: Gk + 6 × 6 + Gk). We investigated meso-level coordination tendencies, as a function of ball-possession (attacking/defending), field-direction (long- itudinal/lateral) and teams (Team A/Team B). Generally, large synergistic relations and more stable patterns were observed in the longitudinal direction of the field than the lateral direction for both teams, and for both game phases in the first condition. The second condition displayed higher synchro- nies and more stable patterns in the lateral direction than the longitudinal plane for both teams, and for both game phases. Results suggest: (i) usefulness of hypernetworks in assessing synchronisation of teams at a meso-level; (ii) coaches may consider manipulating these task constraints to develop levels of local synchronies within teams.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-25T00:00:00Z
2020-01-01T00:00:00Z
2020
2020-04-09T18:09:59Z
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/10071/20345
url http://hdl.handle.net/10071/20345
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0264-0414
10.1080/02640414.2019.1707399
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 Taylor and Francis
publisher.none.fl_str_mv Taylor and Francis
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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