Using cooperative networks to analyse behaviour in professional Australian Football.

Sheehan, WB; Tribolet, R; Watsford, ML; Novak, AR; Rennie, MJ; Fransen, J

Using cooperative networks to analyse behaviour in professional Australian Football.

Sheehan, WB Tribolet, R

Watsford, ML Novak, AR Rennie, MJ Fransen, J

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Journal of Science and Medicine in Sport, 2020, 23, (3), pp. 291-296
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Sheehan, WB
dc.contributor.author	Tribolet, R https://orcid.org/0000-0001-9252-1900
dc.contributor.author	Watsford, ML
dc.contributor.author	Novak, AR
dc.contributor.author	Rennie, MJ
dc.contributor.author	Fransen, J https://orcid.org/0000-0003-3355-1848
dc.date.accessioned	2020-10-09T05:36:45Z
dc.date.available	2019-09-17
dc.date.available	2020-10-09T05:36:45Z
dc.date.issued	2020
dc.identifier.citation	Journal of Science and Medicine in Sport, 2020, 23, (3), pp. 291-296
dc.identifier.issn	1440-2440
dc.identifier.issn	1878-1861
dc.identifier.uri	http://hdl.handle.net/10453/143188
dc.description.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.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation	Sydney Swans Limited
dc.relation.ispartof	Journal of Science and Medicine in Sport
dc.relation.isbasedon	10.1016/j.jsams.2019.09.012
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1106 Human Movement and Sports Sciences, 1116 Medical Physiology, 1117 Public Health and Health Services
dc.subject.classification	Sport Sciences
dc.subject.mesh	Humans
dc.subject.mesh	Retrospective Studies
dc.subject.mesh	Longitudinal Studies
dc.subject.mesh	Principal Component Analysis
dc.subject.mesh	Football
dc.subject.mesh	Video Recording
dc.subject.mesh	Adult
dc.subject.mesh	Australia
dc.subject.mesh	Male
dc.subject.mesh	Athletic Performance
dc.subject.mesh	Young Adult
dc.subject.mesh	Adult
dc.subject.mesh	Athletic Performance
dc.subject.mesh	Australia
dc.subject.mesh	Football
dc.subject.mesh	Humans
dc.subject.mesh	Longitudinal Studies
dc.subject.mesh	Male
dc.subject.mesh	Principal Component Analysis
dc.subject.mesh	Retrospective Studies
dc.subject.mesh	Video Recording
dc.subject.mesh	Young Adult
dc.title	Using cooperative networks to analyse behaviour in professional Australian Football.
dc.type	Journal Article
utslib.citation.volume	23
utslib.location.activity	Australia
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1117 Public Health and Health Services
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1116 Medical Physiology
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2020-10-09T05:36:40Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	3

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.

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http://hdl.handle.net/10453/143188