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      Team Synergies in Sport: Theory and Measures

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          Abstract

          Individual players act as a coherent unit during team sports performance, forming a team synergy. A synergy is a collective property of a task-specific organization of individuals, such that the degrees of freedom of each individual in the system are coupled, enabling the degrees of freedom of different individuals to co-regulate each other. Here, we present an explanation for the emergence of such collective behaviors, indicating how these can be assessed and understood through the measurement of key system properties that exist, considering the contribution of each individual and beyond These include: to (i) dimensional compression, a process resulting in independent degree of freedom being coupled so that the synergy has fewer degrees of freedom than the set of components from which it arises; (ii) reciprocal compensation, if one element do not produce its function, other elements should display changes in their contributions so that task goals are still attained; (iii) interpersonal linkages, the specific contribution of each element to a group task; and (iv), degeneracy, structurally different components performing a similar, but not necessarily identical, function with respect to context. A primary goal of our analysis is to highlight the principles and tools required to understand coherent and dynamic team behaviors, as well as the performance conditions that make such team synergies possible, through perceptual attunement to shared affordances in individual performers. A key conclusion is that teams can be trained to perceive how to use and share specific affordances, explaining how individual’s behaviors self-organize into a group synergy. Ecological dynamics explanations of team behaviors can transit beyond mere ratification of sport performance, providing a comprehensive conceptual framework to guide the implementation of diagnostic measures by sport scientists, sport psychologists and performance analysts. Complex adaptive systems, synergies, group behaviors, team sport performance, ecological dynamics, performance analysis.

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          Most cited references52

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          Emergence of scaling in random networks

          Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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            The structure and function of complex networks

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            Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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              The ecological dynamics of decision making in sport

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                21 September 2016
                2016
                : 7
                : 1449
                Affiliations
                [1] 1CIPER, Spertlab, Faculdade de Motricidade Humana, Universidade de Lisboa Lisboa, Portugal
                [2] 2Centre for Sports Engineering Research, Sheffield Hallam University Sheffield, UK
                Author notes

                Edited by: Kylie Ann Steel, Western Sydney University, Australia

                Reviewed by: Jérôme Bourbousson, University of Nantes, France; Robert Hristovski, Saints Cyril and Methodius University of Skopje, Macedonia

                *Correspondence: Duarte Araújo, daraujo@ 123456fmh.ulisboa.pt

                This article was submitted to Movement Science and Sport Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2016.01449
                5030782
                27708609
                a00a12f4-0ed1-4262-bab6-a7e60a4da615
                Copyright © 2016 Araújo and Davids.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 June 2016
                : 09 September 2016
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 97, Pages: 13, Words: 0
                Categories
                Psychology
                Hypothesis and Theory

                Clinical Psychology & Psychiatry
                complex adaptive systems,synergies,team sport performance,ecological dynamics,group behavior,performance analysis

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