2005/09/30 by Renaud Lambiotte, R. Lambiotte, Marcel Ausloos +1
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Music and Audio Processing #Opinion Dynamics and Social Influence #cs.DL #physics.soc-ph
paper · pdf · doi:10.1140/epjb/e2006-00115-0
published as Eur. Phys. J. B 50, 183-188 (2006) · 7 pages, 5 figures, submitted to the proceedings of the 3rd International Conference NEXT-SigmaPhi
arxiv created 2005/10/15 · openalex publication_date 2006/03/01 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
In this paper, we analyze web-downloaded data on people sharing their music library. By attributing to each music group usual music genres (Rock, Pop...), and analysing correlations between music groups of different genres with percolation-idea based methods, we probe the reality of these subdivisions and construct a music genre cartography, with a tree representation. We also show the diversity of music genres with Shannon entropy arguments, and discuss an alternative objective way to classify music, that is based on the complex structure of the groups audience. Finally, a link is drawn with the theory of hidden variables in complex networks.