Is a social network approach relevant to football results?

dc.creatorMedina, Pablo
dc.creatorCarrasco, Sebasti?n
dc.creatorRogan, Jos?
dc.creatorMontes, Felipe
dc.creatorMeisel, Jose D.
dc.creatorLemoine, Pablo
dc.creatorLago Pe?as, Carlos
dc.creatorAlejandro Valdivia, Juan
dc.date2021-05-13T21:57:11Z
dc.date2021-05-13T21:57:11Z
dc.date2021-01-20
dc.date.accessioned2023-08-31T19:22:53Z
dc.date.available2023-08-31T19:22:53Z
dc.identifierMedina, P., Carrasco, S., Rogan, J., Montes, F., Meisel, J. D., Lemoine, P., . . . Valdivia, J. A. (2021). Is a social network approach relevant to football results? Chaos, Solitons and Fractals, 142
dc.identifier0960-0779
dc.identifierhttps://www.sciencedirect.com/science/article/abs/pii/S0960077920307633?via%3Dihub
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8557657
dc.descriptionWe study the relevance of considering social network analysis in determining soccer results. As a benchmark, we start using a simple regression model based on past performance to try to determine the main trends of a soccer match based on probabilities of winning, losing or tying, as home or visiting teams. The success of this simple model, based on historical performance, is improved by the addition of network descriptors of both teams in a game. Therefore, such network measures do offer additional useful information in determining match outcomes. We validate our approach using the data of the Spanish League (La Liga) 2012?2013. We observe that betweenness centrality seems to provide additional relevance information related to the performance of a team during the tournament.
dc.descriptionUniversidad de Ibagu?
dc.languageen
dc.publisherChaos, Solitons and Fractals
dc.subjectSocial network analysis
dc.subjectComplex networks
dc.subjectProbabilistic models
dc.subjectFootball
dc.titleIs a social network approach relevant to football results?
dc.typeArticle


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