Literature DB >> 22715927

Sports teams as superorganisms: implications of sociobiological models of behaviour for research and practice in team sports performance analysis.

Ricardo Duarte1, Duarte Araújo, Vanda Correia, Keith Davids.   

Abstract

Significant criticisms have emerged on the way that collective behaviours in team sports have been traditionally evaluated. A major recommendation has been for future research and practice to focus on the interpersonal relationships developed between team players during performance. Most research has typically investigated team game performance in subunits (attack or defence), rather than considering the interactions of performers within the whole team. In this paper, we offer the view that team performance analysis could benefit from the adoption of biological models used to explain how repeated interactions between grouping individuals scale to emergent social collective behaviours. We highlight the advantages of conceptualizing sports teams as functional integrated 'super-organisms' and discuss innovative measurement tools, which might be used to capture the superorganismic properties of sports teams. These tools are suitable for revealing the idiosyncratic collective behaviours underlying the cooperative and competitive tendencies of different sports teams, particularly their coordination of labour and the most frequent channels of communication and patterns of interaction between team players. The principles and tools presented here can serve as the basis for novel approaches and applications of performance analysis devoted to understanding sports teams as cohesive, functioning, high-order organisms exhibiting their own peculiar behavioural patterns.

Mesh:

Year:  2012        PMID: 22715927     DOI: 10.2165/11632450-000000000-00000

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  30 in total

Review 1.  Degeneracy and complexity in biological systems.

Authors:  G M Edelman; J A Gally
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-06       Impact factor: 11.205

Review 2.  Group performance and decision making.

Authors:  Norbert L Kerr; R Scott Tindale
Journal:  Annu Rev Psychol       Date:  2004       Impact factor: 24.137

3.  Game, set and match? Substantive issues and future directions in performance analysis.

Authors:  Paul S Glazier
Journal:  Sports Med       Date:  2010-08-01       Impact factor: 11.136

4.  Individual differences in the visual control of intercepting a penalty kick in association football.

Authors:  Matt Dicks; Keith Davids; Chris Button
Journal:  Hum Mov Sci       Date:  2010-03-31       Impact factor: 2.161

5.  Collective memory and spatial sorting in animal groups.

Authors:  Iain D Couzin; Jens Krause; Richard James; Graeme D Ruxton; Nigel R Franks
Journal:  J Theor Biol       Date:  2002-09-07       Impact factor: 2.691

6.  The emergence of a superorganism through intergroup competition.

Authors:  H Kern Reeve; Bert Hölldobler
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-21       Impact factor: 11.205

Review 7.  Rethinking the theoretical foundation of sociobiology.

Authors:  David Sloan Wilson; Edward O Wilson
Journal:  Q Rev Biol       Date:  2007-12       Impact factor: 4.875

Review 8.  Collective cognition in animal groups.

Authors:  Iain D Couzin
Journal:  Trends Cogn Sci       Date:  2008-12-06       Impact factor: 20.229

9.  Interpersonal distance regulates functional grouping tendencies of agents in team sports.

Authors:  Pedro Passos; João Milho; Sofia Fonseca; João Borges; Duarte Araújo; Keith Davids
Journal:  J Mot Behav       Date:  2011       Impact factor: 1.328

10.  Quantifying the performance of individual players in a team activity.

Authors:  Jordi Duch; Joshua S Waitzman; Luís A Nunes Amaral
Journal:  PLoS One       Date:  2010-06-16       Impact factor: 3.240

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  35 in total

1.  Shared knowledge or shared affordances? Insights from an ecological dynamics approach to team coordination in sports.

Authors:  Pedro Silva; Júlio Garganta; Duarte Araújo; Keith Davids; Paulo Aguiar
Journal:  Sports Med       Date:  2013-09       Impact factor: 11.136

2.  The Role of Hypernetworks as a Multilevel Methodology for Modelling and Understanding Dynamics of Team Sports Performance.

Authors:  João Ribeiro; Keith Davids; Duarte Araújo; Pedro Silva; João Ramos; Rui Lopes; Júlio Garganta
Journal:  Sports Med       Date:  2019-09       Impact factor: 11.136

3.  Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice.

Authors:  João Ribeiro; Pedro Silva; Ricardo Duarte; Keith Davids; Júlio Garganta
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

Review 4.  Transferring an Analytical Technique from Ecology to the Sport Sciences.

Authors:  Carl T Woods; Sam Robertson; Neil French Collier; Anne L Swinbourne; Anthony S Leicht
Journal:  Sports Med       Date:  2018-03       Impact factor: 11.136

Review 5.  What Performance Analysts Need to Know About Research Trends in Association Football (2012-2016): A Systematic Review.

Authors:  Hugo Sarmento; Filipe Manuel Clemente; Duarte Araújo; Keith Davids; Allistair McRobert; António Figueiredo
Journal:  Sports Med       Date:  2018-04       Impact factor: 11.136

6.  A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data.

Authors:  Benedict Low; Diogo Coutinho; Bruno Gonçalves; Robert Rein; Daniel Memmert; Jaime Sampaio
Journal:  Sports Med       Date:  2020-02       Impact factor: 11.136

7.  How Training Tools Physically Linking Soccer Players Improve Interpersonal Coordination.

Authors:  Keiko Yokoyama; Noriyuki Tabuchi; Duarte Araújo; Yuji Yamamoto
Journal:  J Sports Sci Med       Date:  2020-05-01       Impact factor: 2.988

8.  Using network metrics in soccer: a macro-analysis.

Authors:  Filipe Manuel Clemente; Micael Santos Couceiro; Fernando Manuel Lourenço Martins; Rui Sousa Mendes
Journal:  J Hum Kinet       Date:  2015-04-07       Impact factor: 2.193

9.  The Influence of Collective Behavior on Pacing in Endurance Competitions.

Authors:  Andrew Renfree; Everton Crivoi do Carmo; Louise Martin; Derek M Peters
Journal:  Front Physiol       Date:  2015-12-09       Impact factor: 4.566

10.  Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer.

Authors:  Daniel M Smith; Theodore A Walls
Journal:  Psychometrika       Date:  2021-06-18       Impact factor: 2.290

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