Sport competition as a dynamical self-organizing system
By Tim McGarry, David I. Anderson, S. A. Wallace, Mike Hughes, I. Franks. Jurnal sport science, 2002
472 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/4716f9c967cade5e6736f12cc6a2d263b86eacc3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Jia Yi Chow
- Tim McGarry
- Duarte Araújo
- Ian Renshaw
- Keith Davids
- Daniel Memmert
- Robert Rein
- Roger Bartlett
Citations in the corpus
- Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science (2016, methodology): “One model which has been repeatedly proposed in the literature is based on a Dynamic system theoretical framework (Duarte et al. 2012a, b; Duarte et al. 2013; Garganta 2009; McGarry et al. 2002; Reed and Hughes 2006; Ric et al. 2016).”
- Insights from Ecological Psychology and Dynamical Systems. Theory can underpin a philosophy of coaching. (2009, background): “stable state or the termination of the rally ( McGarry et al., 2002 ).”
- Advances in the application of information technology to sport performance (2002, background): “Such complete analyses will enable sport scientists to investigate valid descrip - tions of game performance such as that described in McGarry et al. (2002, this issue).”
- Tactical performance changes with equal vs unequal numbers of players in small-sided football games (2014, background): “…synchrony between two oscillating signals by measuring the phase differences between signals in their respective cycles, such as the back-and-forth displacements or velocities of players, thereby allowing detection of stable and/or unstable coordination behaviours (McGarry et al., 2002).”
- The ecological dynamics of 1v1 sub-phases in association football (2010, background): “pt the free space behind the defender) can be defined as a potential order parameter [3,8], identifying two qualitative states: (1) when the defender is nearer the target zone than the attacker, and (2) when the attacker passes the defender and approaches the target zone.”
- Applied and theoretical perspectives of performance analysis in sport: Scientific issues and challenges (2009, background): “These considerations exemplify the earlier suggestion of McGarry et al. (2002) that individual dyads are forged and broken (i.e., changed) depending on game context, a consequence of the ongoing duel within the attacker-defender dyad in which the attacker tries to break symmetry and the defender…”