Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/40280
DC FieldValueLanguage
dc.contributor.authorArriaza Ardiles, Enriqueen_US
dc.contributor.authorMartín-González, J.M.en_US
dc.contributor.authorZuñiga, M.D.en_US
dc.contributor.authorSánchez Flores, Javieren_US
dc.contributor.authorDe Saa, Y.en_US
dc.contributor.authorGarcía Manso, Juan Manuelen_US
dc.date.accessioned2018-06-08T12:06:07Z-
dc.date.available2018-06-08T12:06:07Z-
dc.date.issued2017en_US
dc.identifier.issn0167-9457en_US
dc.identifier.urihttp://hdl.handle.net/10553/40280-
dc.description.abstractThis work presents a methodology for analysing the interactions between players in a football team, from the point of view of graph theory and complex networks. We model the complex network of passing interactions between players of a same team in 32 official matches of the Liga de Fútbol Profesional (Spain), using a passing/reception graph. This methodology allows us to understand the play structure of the team, by analysing the offensive phases of game-play. We utilise two different strategies for characterising the contribution of the players to the team: the clustering coefficient, and centrality metrics (closeness and betweenness). We show the application of this methodology by analyzing the performance of a professional Spanish team according to these metrics and the distribution of passing/reception in the field. Keeping in mind the dynamic nature of collective sports, in the future we will incorporate metrics which allows us to analyse the performance of the team also according to the circumstances of game-play and to different contextual variables such as, the utilisation of the field space, the time, and the ball, according to specific tactical situations.en_US
dc.languageengen_US
dc.relation.ispartofHuman Movement Scienceen_US
dc.sourceHuman Movement Science [ISSN 0167-9457], v. 57, p. 236-243en_US
dc.subject241118 Fisiología del movimientoen_US
dc.subject.otherBetweenness centralityen_US
dc.subject.otherCloseness centralityen_US
dc.subject.otherClusteringen_US
dc.subject.otherFootballen_US
dc.subject.otherNetworken_US
dc.subject.otherPassingen_US
dc.titleApplying graphs and complex networks to football metric interpretationen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.humov.2017.08.022
dc.identifier.scopus85029631168
dc.identifier.isi000425482700023-
dc.contributor.authorscopusid57195724491
dc.contributor.authorscopusid55930213900
dc.contributor.authorscopusid23398893800
dc.contributor.authorscopusid55632901700
dc.contributor.authorscopusid35409022400
dc.contributor.authorscopusid6508074186
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid12338055
dc.contributor.daisngid1769703
dc.contributor.daisngid2661246
dc.contributor.daisngid10080099
dc.contributor.daisngid5818344
dc.contributor.daisngid1345341
dc.contributor.wosstandardWOS:Arriaza-Ardiles, E
dc.contributor.wosstandardWOS:Martin-Gonzalez, JM
dc.contributor.wosstandardWOS:Zuniga, MD
dc.contributor.wosstandardWOS:Sanchez-Flores, J
dc.contributor.wosstandardWOS:de Saa, Y
dc.contributor.wosstandardWOS:Garcia-Manso, JM
dc.date.coverdateFebrero 2018
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.orcid0000-0003-0096-7142-
crisitem.author.fullNameMartín González, Juan Manuel-
crisitem.author.fullNameGarcía Manso, Juan Manuel-
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