DescriptionThis workshop explored the opportunities and challenges arising when network analysis is applied to the study of music history. It aimed at both digital humanities specialists who wish to gain new perspectives from the domain of music, and musicologists who wish to learn more about the concepts and techniques of network analysis. By the end of the workshop, attendees gained a clearer understanding of: how network analysis can illuminate musicology (particularly the branches of musicology using large quantities of data), how network conceptualisations can be translated into data-driven methodologies, and how other disciplines might benefit from approaches developed specifically for studying music.
Music has a particularly multi-layered, multimodal nature, involving compositions, performances, audiences, critical discourses, social contexts, etc. The workshop discussed how these elements can be modelled and analysed as networks, and how music’s multimodal nature can offer new perspectives for network analysis in other disciplines (for instance, how literary studies can address the performative networks surrounding texts and authors).
|Period||06 Jun 2018|
- network analysis
- digital humanities
Research output: Contribution to journal/periodical › Article › Scientific › peer-review