Transnationalism and Urbanism by Stefan Krätke Kathrin Wildner Stephan Lanz

Author:Stefan Krätke, Kathrin Wildner, Stephan Lanz [Stefan Krätke, Kathrin Wildner, Stephan Lanz]
Language: eng
Format: epub
Tags: Nonfiction, Social & Cultural Studies, Political Science, Politics, City Planning & Urban Development, Social Science, Human Geography, Sociology, Urban
ISBN: 9781136265617
Publisher: Taylor and Francis
Published: 2012-08-21T04:00:00+00:00

DATA COLLECTION

The projects on which the analysis presented in this chapter focuses are recorded popular music albums, defined as a group of audio tracks with a generally consistent track list across the different territories in which it is released. Each album has its own temporary project ecology, consisting not only of firms (record companies), but also localities—recording studios in particular cities, and the professional and personal networks of the musicians and studio producers and engineers—‘creative labor’. Within these ecologies, elements of creative labor may be fixed in particular studios, with recordings being transferred digitally, or this labor may be mobile between studios in different cities. It is these movements, of both labor and recordings, which are the connections that form the transnational urban networks of musical production within the recorded music industry. Each album has its own distinct production network, varyingly dispersed in terms of geography. By including multiple albums in the analysis, it has been possible to produce a comprehensive and inclusive network, in which many distinct networks overlap with one another.

Databases of recording information for albums, consisting of information on the recording studios used and the creative labor involved in the recording, were constructed based on albums appearing in the top 10 iTunes download charts for the UK and US national digital music markets during the first six months of 2009. The final databases contain data on 53 albums from the UK download charts and 52 albums from the US download charts respectively, linking 36 cities and 43 cities respectively. The data are coded as non-directional, i.e. there is no distinction made between ‘senders’ and ‘receivers’ in relationships, rather they are considered to involve mutual exchange. The level of connectivity of cities is assessed through a social network analysis, undertaken using the UCINET software (Borgatti et al. 2002).

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