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Google matrix analysis of worldwide football mercato

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Google matrix analysis of worldwide football mercato

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dc.contributor.author Loye, Justin es_ES
dc.contributor.author Coquidé, Célestin es_ES
dc.contributor.author Rollin, Guillaume es_ES
dc.contributor.author Lages, José es_ES
dc.date.accessioned 2018-11-05T08:41:22Z
dc.date.available 2018-11-05T08:41:22Z
dc.date.issued 2018-09-07
dc.identifier.isbn 9788490486894
dc.identifier.uri http://hdl.handle.net/10251/111848
dc.description Resumen de la comunicación es_ES
dc.description.abstract [EN] The worldwide football transfer market is analyzed as a directed complex network: the football clubs are the network nodes and the directed edges are weighted by the total amount of money transferred from a club to another. The Google matrix description allows to treat every club independently of their richness and allows to measure for a given club the efficiency of player sales and player acquisitions. The PageRank algorithm, developed initially for the World Wide Web, naturally characterizes the ability of a club to import players. The CheiRank algorithm, also developed to analyze large scale directed complex networks, characterizes the ability of a club to export players. The analysis in the two-dimensional PageRank-CheiRank plan permits to determine the transfer balance of the clubs in a more subtle manner than the traditional import-export scheme. We investigate the 2017- 2018 mercato concerning 2296 clubs, 6698 player transfers, and 147 player nationalities. The transfer balance is determined globally for different types of player trades (defender, midfielder, forward, …) and for different national football leagues. Although, on average, the network transfer flows from and to clubs are balanced, the discrimination by player type draws a specific portrait of each football club. es_ES
dc.format.extent 1 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Web data es_ES
dc.subject Internet data es_ES
dc.subject Big data es_ES
dc.subject QCA es_ES
dc.subject PLS es_ES
dc.subject SEM es_ES
dc.subject Conference es_ES
dc.subject Football transfer market es_ES
dc.subject Google matrix es_ES
dc.subject Markov chains es_ES
dc.subject Complex networks es_ES
dc.subject PageRank es_ES
dc.subject CheiRank es_ES
dc.title Google matrix analysis of worldwide football mercato es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2018.2018.8358
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Loye, J.; Coquidé, C.; Rollin, G.; Lages, J. (2018). Google matrix analysis of worldwide football mercato. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 258-258. https://doi.org/10.4995/CARMA2018.2018.8358 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Julio 12-13,2018 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8358 es_ES
dc.description.upvformatpinicio 258 es_ES
dc.description.upvformatpfin 258 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\8358 es_ES


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