TY - JOUR
T1 - On the genre-fication of music
T2 - A percolation approach
AU - Lambiotte, R.
AU - Ausloos, M.
N1 - Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006/3/1
Y1 - 2006/3/1
N2 - 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 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.
AB - 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 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.
UR - http://www.scopus.com/inward/record.url?scp=33645950450&partnerID=8YFLogxK
U2 - 10.1140/epjb/e2006-00115-0
DO - 10.1140/epjb/e2006-00115-0
M3 - Article
AN - SCOPUS:33645950450
SN - 1434-6028
VL - 50
SP - 183
EP - 188
JO - European Physical Journal B
JF - European Physical Journal B
IS - 1-2
ER -