@article{ref1,
title="Using cooperative networks to analyse behaviour in professional Australian Football",
journal="Journal of science and medicine in sport",
year="2019",
author="Sheehan, William B. and Tribolet, Rhys and Watsford, Mark L. and Novak, Andrew R. and Rennie, Michael J. and Fransen, Job",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVES: Reducing the dimensionality of commonly reported complex network characteristics obtained from Australian Football League (AFL) games to facilitate their practical use and interpretability. <br><br>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. <br><br>METHODS: A principal component analysis was used to reduce the number of characteristics related to the cooperative network analysis. <br><br>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. <br><br>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.<br><br>Copyright © 2019 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="1440-2440",
doi="10.1016/j.jsams.2019.09.012",
url="http://dx.doi.org/10.1016/j.jsams.2019.09.012"
}