Title
Using Audio Analysis and Network Structure to Identify Communities in On-Line Social Networks of Artists
Abstract
Community detection methods from complex network the- ory 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 simi- larity 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. Evidence suggesting the Myspace artist network structure is closely related to musical genre is presented and a Semantic Web service for accessing this structure is described.
Year
Venue
Keywords
2008
ISMIR 2013
random walk,audio analysis,community structure,complex network,social network
Field
DocType
Citations 
Greedy optimization,World Wide Web,Social network,Random walk,Musical,Computer science,Audio analyzer,Complex network,Modularity,Network structure
Conference
8
PageRank 
References 
Authors
0.57
13
3
Name
Order
Citations
PageRank
Kurt Jacobson1474.66
Mark B. Sandler238350.83
Ben Fields3754.95