The emergence of complex network patterns in music networks

Viewing biological, social or technological systems as networks formed by nodes and connections between them can help better understand them. We study the topology of several music networks, namely citation in allmusic.com and co-occurrence of artists in playlists. The analysis uncovers the emergence of complex network phenomena in music information networks built considering artists as nodes and its relations as links. The properties provide some hints on searchability and possible optimizations in the design of music recommendation systems. It may also provide a deeper understanding on the similarity measures that can be derived from existing music knowledge sources.