Research on cultural consumption typically identifies different cultural patterns which allow researchers to sort cultural practices into categories. These patterns are based on a perceived similarity among cultural 'genres'. Typical examples are the 'highbrow' vs. 'lowbrow' dichotomy and omni- versus univores. Numerous studies have used these cultural patterns to investigate their link with social strata and all kinds of different personal attributes. There is however an important issue concerning the operationalization of these cultural taste patterns. Researchers typically use a list of pre-defined genres to capture the (dis)liking of the genres they consider as important. Obviously, there is a risk to impose a normative classification. The list of genres can be, outdated, out of context, incomplete, inspired by commercial institutions, etc. Furthermore, cultural genres do not necessarily have strict boundaries resulting in discrete and exclusive categories. We present an alternative method to identify music taste patterns based on an open question for artist and/or band preferences. We use the 'Participation in Flanders 2009' dataset to construct a matrix of persons (y-axis) and band/artist preferences (x-axis). This bipartite network allows us to identify bands/ artists that have a similar relationship to the same set of persons and thus to construct music taste patterns from the bottom up, without using a normative list of genres. The main research questions are: (1) how are people clustered in a matrix of persons and band/artist preferences (2) how do the resulting music preference patterns correspond with the existing classifications methods based on music genres.
|Titel||XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis, Abstracts|
|Status||Published - 2013|
|Evenement||XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis - Hamburg, Germany|
Duur: 21 mei 2013 → 26 mei 2013
|Conference||XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis|
|Periode||21/05/13 → 26/05/13|