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http://hdl.handle.net/10071/20455
acessibilidade
Title: A multilevel hypernetworks approach to capture properties of team synergies at higher complexity levels
Authors: Ribeiro, J.
Silva, P.
Davids, K.
Araújo, D.
Ramos, J.
Lopes, R. J.
Garganta, J.
Keywords: Multilevel hypernetworks
Dynamics
Team synergies
Team collective behaviour
Performance analysis
Association football
Issue Date: 2020
Publisher: Taylor and Francis
Abstract: Previous work has sought to explain team coordination using insights from theories of synergy formation in collective systems. Under this theoretical rationale, players are conceptualised as independent degrees of freedom, whose interactions can become coupled to produce team synergies, guided by shared affordances. Previous conceptualisation from this perspective has identified key properties of synergies, the measurement of which can reveal important aspects of team dynamics. However, some team properties have been measured through implementation of a variety of methods, while others have only been loosely addressed. Here, we show how multilevel hypernetworks comprise an innovativemethodological framework that can successfully capture key properties of synergies, clarifying conceptual issues concerning team collective behaviours based on team synergy formation. Therefore, this study investigated whether different synergy properties could be operationally related utilising hypernetworks. Thus, we constructed a multilevel model composed of three levels of analysis. Level N captured changes in tactical configurations of teams during competitive performance. While Team A changed from an initial 1-4-3-3 to a 1-4-4-2 tactical configuration, Team B altered the dynamics of the midfielders. At Level N+1, the 2vs.1 (1vs.2) and 1vs.1 were the most frequently emerging simplices, both behind and ahead of the ball line for both competing teams. Level N+2 allowed us to identify the prominent players (a6, a8, a12, a13) and their interactions, within and between simplices, before a goal was scored. These findings showed that different synergy properties can be assessed through hypernetworks, which can provide a coherent theoretical understanding of competitive team performance.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/20455
DOI: 10.1080/17461391.2020.1718214
ISSN: 1746-1391
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-67793
Accession number: WOS:000512558600001
Appears in Collections:IT-RI - Artigo em revista internacional com arbitragem científica

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