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dc.contributor.author | Malagón Selma, María del Pilar | es_ES |
dc.contributor.author | Debón Aucejo, Ana María | es_ES |
dc.contributor.author | Doménech i de Soria, Josep | es_ES |
dc.date.accessioned | 2022-11-10T12:11:35Z | |
dc.date.available | 2022-11-10T12:11:35Z | |
dc.date.issued | 2022-09-20 | |
dc.identifier.isbn | 9788413960180 | |
dc.identifier.uri | http://hdl.handle.net/10251/189563 | |
dc.description.abstract | [EN] Search popularity, as reported by Google Trends, has previously been demonstrated to be useful when studying many time series. However, its use in cross-section studies is not straightforward because search popularity is not provided in absolute terms but as a normalized index that impedes comparisons. This paper proposes a novel methodology for calculating popularity indicators obtained from Google Trends to improve the prediction of football players' transfer fees. The database is formed by 1428 players who competed in LaLiga, Premier League, Bundesliga, Serie A, and Ligue 1 on the 2018-2019 season. Random forest algorithm and multiple linear regression are used to study the popularity indicators' importance and significativity, respectively. Results showed that the proposed popularity indicators provide significant information to predict players’ transfer fees, as models including such popularity indicators had lower prediction error than those without them. This study's developed method could be used not only for analysts specialized in sports data analysis but for researchers of other fields. | es_ES |
dc.description.sponsorship | This work was partially supported by grants PID2019-107765RB-I00 and funded by MCIN/AEI/10.13039/501100011033. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022) | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Popularity Indicators | es_ES |
dc.subject | Google Trends | es_ES |
dc.subject | Transfer fees | es_ES |
dc.title | Influence of popularity on the transfer fees of football players | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2022.2022.15067 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107765RB-I00/ES/HUELLA DIGITAL, COMPETITIVIDAD Y DEMOGRAFIA EMPRESARIAL/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Centro de Gestión de la Calidad y del Cambio - Centre de Gestió de la Qualitat i del Canvi | es_ES |
dc.description.bibliographicCitation | Malagón Selma, MDP.; Debón Aucejo, AM.; Doménech I De Soria, J. (2022). Influence of popularity on the transfer fees of football players. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 101-108. https://doi.org/10.4995/CARMA2022.2022.15067 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 29-Julio 01, 2022 | es_ES |
dc.relation.conferenceplace | Valencia, España | |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15067 | es_ES |
dc.description.upvformatpinicio | 101 | es_ES |
dc.description.upvformatpfin | 108 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\15067 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |