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Using cooperative networks to analyse behaviour in professional Australian Football
William B Sheehan1, Rhys Tribolet1, Mark L Watsford1
1Human Performance Research Centre, Faculty of Health, University of Technology Sydney, Australia.
Objectives:
Reducing the dimensionality of commonly reported complex network characteristics obtained from Australian Football League (AFL) games to facilitate their practical use and interpretability.
Design:
Retrospective longitudinal design where individual players' interactions, determined through the distribution and receipt of kicks and handballs, during official AFL games were collected over three seasons.
Methods:
A principal component analysis was used to reduce the number of characteristics related to the cooperative network analysis.
Results:
The principal component analysis derived two individual-based principal components pertaining to in- and out-degree importance and three team-based principal components related to connectedness and in- and out-degree centralisation.
Conclusions:
This study is the first to provide a simplified, novel method for analysing complex network structures in an Australian Football context with both the team- and individual-derived metrics revealing useful information for coaches and practitioners. This may consequently guide opposition analysis, training implementation, player performance ratings and player selection.
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