The Topology of Music Recommendation Networks
Physics and Society
2012-05-14 v1
Abstract
We study the topology of several music recommendation networks, which rise from relationships between artist, co-occurrence of songs in playlists or experts' recommendation. The analysis uncovers the emergence of complex network phenomena in this kind of recommendation networks, built considering artists as nodes and their resemblance as links. We observe structural properties that provide some hints on navigation and possible optimizations on the design of music recommendation systems. Finally, the analysis derived from existing music knowledge sources provides a deeper understanding of the human music similarity perceptions.
Keywords
Cite
@article{arxiv.physics/0512266,
title = {The Topology of Music Recommendation Networks},
author = {Pedro Cano and Oscar Celma and Markus Koppenberger and Javier M. Buldú},
journal= {arXiv preprint arXiv:physics/0512266},
year = {2012}
}
Comments
15 pages, 3 figures