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Goldsmiths - University of London

Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery

Fields, Ben; Jacobson, Kurt; Rhodes, Christophe; Sandler, Mark and Casey, Michael A.. 2010. 'Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery'. In: IEEE-THEMES: Signal and Information Processing for Social Networks. Dallas, United States. [Conference or Workshop Item]

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Abstract or Description

This paper presents an extensive analysis of a sample of a social network of musicians. The network sample is first analyzed using standard complex network techniques to verify that it has similar properties to other web-derived complex networks. Content-based pairwise dissimilarity values between the musical data associated with the network sample are computed, and the relationship between those content-based distances and distances from network theory explored. Following this exploration, hybrid graphs and distance measures are constructed, and used to examine the community structure of the artist network. Finally, results of these investigations are presented and considered in the light of recommendation and discovery applications with these hybrid measures as their basis.

Item Type: Conference or Workshop Item (Paper)

Departments, Centres and Research Units:

Computing > Intelligent Sound and Music Systems (ISMS)

Dates:

DateEvent
2010Published

Event Location:

Dallas, United States

Item ID:

9806

Date Deposited:

21 Feb 2014 11:44

Last Modified:

20 Jun 2017 11:52

URI: http://research.gold.ac.uk/id/eprint/9806

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