A multilevel hypernetworks approach to capture meso-level synchronisation processes in football
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/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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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 |
repository.mail.fl_str_mv |
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1799134876351332352 |