The social network of contemporary popular musicians

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In this paper, we analyze two social network datasets of contemporary musicians constructed from allmusic.com (AMG), a music and artists' information database: one is the collaboration network in which two musicians are connected if they have performed or produced an album together, and the other is the similarity network in which they are connected if they were musically similar according to the music experts. We find that, while both networks exhibit typical features of social networks such as high transitivity (clustering), we find that they differ significantly in some key network features such as the degree and the betweenness distributions. We believe that this highlights the fundamental differences in the construction mechanism (self-organized collaboration and human-perceived similarity) of the new networks.
Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
Issue Date
2007-07
Language
English
Article Type
Article
Citation

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, v.17, no.7, pp.2281 - 2288

ISSN
0218-1274
DOI
10.1142/S0218127407018385
URI
http://hdl.handle.net/10203/93238
Appears in Collection
GCT-Journal Papers(저널논문)
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