The complex network of musical tastes

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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.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.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.doi http://dx.doi.org/10.1088/1367-2630/9/6/172
• dc.identifier.issn 1367-2630
• dc.identifier.uri http://hdl.handle.net/10230/42021
• dc.language.iso eng
• dc.publisher IOP Publishing Ltd
• dc.relation.ispartof New journal of physics. 2007;9:15 p
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PN/BFM2003-07850
• 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.rights.accessRights info:eu-repo/semantics/openAccess
• dc.title The complex network of musical tastes
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion