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dc.contributor.author Buldú, Javier M.
dc.contributor.author Cano Vila, Pedro
dc.contributor.author Koppenberger, Markus
dc.contributor.author Almendral, Juan A.
dc.contributor.author Boccaletti, Stefano
dc.date.accessioned 2019-07-17T15:01:38Z
dc.date.available 2019-07-17T15:01:38Z
dc.date.issued 2007
dc.identifier.citation Buldú JM, Cano P, Koppenberger M, Almendral JA, Boccaletti S. The Complex network of musical tastes. New J Phys. 2007;9:15 p. DOI: 10.1088/1367-2630/9/6/172
dc.identifier.issn 1367-2630
dc.identifier.uri http://hdl.handle.net/10230/42021
dc.description.abstract We present an empirical study of the evolution of a social network constructed under the influence of musical tastes. The network is obtained thanks to the selfless effort of a broad community of users who share playlists of their favourite songs with other users. When two songs co-occur in a playlist a link is created between them, leading to a complex network where songs are the fundamental nodes. In this representation, songs in the same playlist could belong to different musical genres, but they are prone to be linked by a certain musical taste (e.g. if songs A and B co-occur in several playlists, an user who likes A will probably like also B). Indeed, playlist collections such as the one under study are the basic material that feeds some commercial music recommendation engines. Since playlists have an input date, we are able to evaluate the topology of this particular complex network from scratch, observing how its characteristic parameters evolve in time. We compare our results with those obtained from an artificial network defined by means of a null model. This comparison yields some insight on the evolution and structure of such a network, which could be used as ground data for the development of proper models. Finally, we gather information that can be useful for the development of music recommendation engines and give some hints about how top-hits appear.
dc.description.sponsorship JMB acknowledges VDP Servedio for his help with the Net software [22] and also financial support from MCyT–FEDER (Spain, project BFM2003-07850) and from the Generalitat de Catalunya. SB acknowledges the Yeshaya Horowitz Association through the Center for Complexity Science.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IOP Publishing Ltd
dc.relation.ispartof New journal of physics. 2007;9:15 p
dc.rights Published under licence in New journal of physics by IOP Publishing Ltd. CC-BY Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
dc.title The complex network of musical tastes
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1088/1367-2630/9/6/172
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PN/BFM2003-07850
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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