Literature DB >> 21145787

Networks as a novel tool for studying team ball sports as complex social systems.

P Passos1, K Davids, D Araújo, N Paz, J Minguéns, J Mendes.   

Abstract

This paper describes and evaluates the novel utility of network methods for understanding human interpersonal interactions within social neurobiological systems such as sports teams. We show how collective system networks are supported by the sum of interpersonal interactions that emerge from the activity of system agents (such as players in a sports team). To test this idea we trialled the methodology in analyses of intra-team collective behaviours in the team sport of water polo. We observed that the number of interactions between team members resulted in varied intra-team coordination patterns of play, differentiating between successful and unsuccessful performance outcomes. Future research on small-world networks methodologies needs to formalize measures of node connections in analyses of collective behaviours in sports teams, to verify whether a high frequency of interactions is needed between players in order to achieve competitive performance outcomes.
Copyright © 2010 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21145787     DOI: 10.1016/j.jsams.2010.10.459

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  26 in total

Review 1.  Neural network modelling and dynamical system theory: are they relevant to study the governing dynamics of association football players?

Authors:  Aviroop Dutt-Mazumder; Chris Button; Anthony Robins; Roger Bartlett
Journal:  Sports Med       Date:  2011-12-01       Impact factor: 11.136

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

Authors:  Ricardo Duarte; Duarte Araújo; Vanda Correia; Keith Davids
Journal:  Sports Med       Date:  2012-08-01       Impact factor: 11.136

3.  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

4.  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

5.  Do Long-time Team-mates Lead to Better Team Performance? A Social Network Analysis of Data from Major League Baseball.

Authors:  Danielle Jarvie
Journal:  Sports Med       Date:  2018-11       Impact factor: 11.136

6.  Self-organization processes in field-invasion team sports : implications for leadership.

Authors:  Pedro Passos; Duarte Araújo; Keith Davids
Journal:  Sports Med       Date:  2013-01       Impact factor: 11.136

Review 7.  What's Next in Complex Networks? Capturing the Concept of Attacking Play in Invasive Team Sports.

Authors:  João Ramos; Rui J Lopes; Duarte Araújo
Journal:  Sports Med       Date:  2018-01       Impact factor: 11.136

8.  Spatial performance analysis in basketball with CART, random forest and extremely randomized trees.

Authors:  Paola Zuccolotto; Marco Sandri; Marica Manisera
Journal:  Ann Oper Res       Date:  2022-06-03       Impact factor: 4.820

9.  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

Review 10.  Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science.

Authors:  Robert Rein; Daniel Memmert
Journal:  Springerplus       Date:  2016-08-24
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