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Journal Article

Citation

Sheehan WB, Tribolet R, Watsford ML, Novak AR, Rennie MJ, Fransen J. J. Sci. Med. Sport 2019; ePub(ePub): ePub.

Affiliation

Human Performance Research Centre, Faculty of Health, University of Technology Sydney, Australia.

Copyright

(Copyright © 2019, Sports Medicine Australia, Publisher Elsevier Publishing)

DOI

10.1016/j.jsams.2019.09.012

PMID

31582289

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.

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.

Copyright © 2019 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.


Language: en

Keywords

Performance analysis; Player interaction; Principal component analysis; Social network; Tactics

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