TY  - JOUR
PY  - 2019//
TI  - Using cooperative networks to analyse behaviour in professional Australian Football
JO  - Journal of science and medicine in sport
A1  - Sheehan, William B.
A1  - Tribolet, Rhys
A1  - Watsford, Mark L.
A1  - Novak, Andrew R.
A1  - Rennie, Michael J.
A1  - Fransen, Job
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - 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>
LA  - en
SN  - 1440-2440
UR  - http://dx.doi.org/10.1016/j.jsams.2019.09.012
ID  - ref1
ER  -