Arts, Humanities, and Complex Networks

Pedro Cano

Music Recommendation Networks

Nowadays it is possible to access millions of music tracks. In order to ease users to search and discover the music, a number of recommendation systems have been proposed. We analyze the topology of several commercial recommendation systems from a networks perspective.  We observe  structural properties that provide some hints on searchability and behavior of

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