Literature DB >> 28918464

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

João Ramos1,2, Rui J Lopes3,4, Duarte Araújo5.   

Abstract

The evolution of performance analysis within sports sciences is tied to technology development and practitioner demands. However, how individual and collective patterns self-organize and interact in invasive team sports remains elusive. Social network analysis has been recently proposed to resolve some aspects of this problem, and has proven successful in capturing collective features resulting from the interactions between team members as well as a powerful communication tool. Despite these advances, some fundamental team sports concepts such as an attacking play have not been properly captured by the more common applications of social network analysis to team sports performance. In this article, we propose a novel approach to team sports performance centered on sport concepts, namely that of an attacking play. Network theory and tools including temporal and bipartite or multilayered networks were used to capture this concept. We put forward eight questions directly related to team performance to discuss how common pitfalls in the use of network tools for capturing sports concepts can be avoided. Some answers are advanced in an attempt to be more precise in the description of team dynamics and to uncover other metrics directly applied to sport concepts, such as the structure and dynamics of attacking plays. Finally, we propose that, at this stage of knowledge, it may be advantageous to build up from fundamental sport concepts toward complex network theory and tools, and not the other way around.

Mesh:

Year:  2018        PMID: 28918464     DOI: 10.1007/s40279-017-0786-z

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


  23 in total

1.  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

2.  Inferring social ties from geographic coincidences.

Authors:  David J Crandall; Lars Backstrom; Dan Cosley; Siddharth Suri; Daniel Huttenlocher; Jon Kleinberg
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-08       Impact factor: 11.205

3.  Practice effects on intra-team synergies in football teams.

Authors:  Pedro Silva; Dante Chung; Thiago Carvalho; Tiago Cardoso; Keith Davids; Duarte Araújo; Júlio Garganta
Journal:  Hum Mov Sci       Date:  2015-12-18       Impact factor: 2.161

4.  Dynamics of networking agents competing for high centrality and low degree.

Authors:  Petter Holme; Gourab Ghoshal
Journal:  Phys Rev Lett       Date:  2006-03-07       Impact factor: 9.161

5.  Empirical analysis of an evolving social network.

Authors:  Gueorgi Kossinets; Duncan J Watts
Journal:  Science       Date:  2006-01-06       Impact factor: 47.728

6.  Coevolution of strategy and structure in complex networks with dynamical linking.

Authors:  Jorge M Pacheco; Arne Traulsen; Martin A Nowak
Journal:  Phys Rev Lett       Date:  2006-12-19       Impact factor: 9.161

7.  Uncovering space-independent communities in spatial networks.

Authors:  Paul Expert; Tim S Evans; Vincent D Blondel; Renaud Lambiotte
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-25       Impact factor: 11.205

8.  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

9.  Universality in network dynamics.

Authors:  Baruch Barzel; Albert-László Barabási
Journal:  Nat Phys       Date:  2013       Impact factor: 20.034

10.  Basketball teams as strategic networks.

Authors:  Jennifer H Fewell; Dieter Armbruster; John Ingraham; Alexander Petersen; James S Waters
Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

View more
  7 in total

1.  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

2.  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

Review 3.  Sports Injury Forecasting and Complexity: A Synergetic Approach.

Authors:  Sergio T Fonseca; Thales R Souza; Evert Verhagen; Richard van Emmerik; Natalia F N Bittencourt; Luciana D M Mendonça; André G P Andrade; Renan A Resende; Juliana M Ocarino
Journal:  Sports Med       Date:  2020-10       Impact factor: 11.136

4.  Using Network Science to Analyse Football Passing Networks: Dynamics, Space, Time, and the Multilayer Nature of the Game.

Authors:  Javier M Buldú; Javier Busquets; Johann H Martínez; José L Herrera-Diestra; Ignacio Echegoyen; Javier Galeano; Jordi Luque
Journal:  Front Psychol       Date:  2018-10-08

5.  Defining a historic football team: Using Network Science to analyze Guardiola's F.C. Barcelona.

Authors:  J M Buldú; J Busquets; I Echegoyen; F Seirul Lo
Journal:  Sci Rep       Date:  2019-09-19       Impact factor: 4.379

6.  Play-by-Play Network Analysis in Football.

Authors:  Florian Korte; Daniel Link; Johannes Groll; Martin Lames
Journal:  Front Psychol       Date:  2019-07-25

7.  Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport.

Authors:  Kevin Till; Joseph Baker
Journal:  Front Psychol       Date:  2020-04-15
  7 in total

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