Kurt's Works

Community detection methods from complex network theory are applied to a subset of the Myspace artist network to identify groups of similar artists. Methods based on the greedy optimization of modularity and random walks are used. In a second iteration, inter-artist audio-based similarity scores are used as input to enhance these community detection methods. The resulting community structures are evaluated using a collection of artist-assigned genre tags.

A sample of the Myspace social network is examined. Using
methods from complex network theory, we show empirically that artists tend to form on-line social connections with artists of the same genre. This motivates the use of on-line social networks as data resources for musicology and music information retrieval.