Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
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A sample of the Myspace social network is examined. Using methods from complex network theory, we show empirically that the structure of the Myspace artist network is related to the concept of musical genre. A modified assortativity coefficient calculation shows that artists preferentially form network connections with other artists of the same genre. We also show there is a clear trend relating the geodesic distance between artists and genre label associations - that is artists with the same genre associations tend to be closer in the network. These findings motivate the use of on-line social networks as data resources for musicology and music information retrieval.