Dr Sally Street sally.e.street@durham.ac.uk
Associate Professor
The role of population size in folk tune complexity
Street, Sally; Eerola, Tuomas; Kendal, Jeremy
Authors
Professor Tuomas Eerola tuomas.eerola@durham.ac.uk
Professor
Dr Jeremy Kendal jeremy.kendal@durham.ac.uk
Associate Professor
Abstract
Demography, particularly population size, plays a key role in cultural complexity. However, the relationship between population size and complexity appears to vary across domains: while studies of technology typically find a positive correlation, the opposite is true for language, and the role of population size in complexity in the arts remains to be established. Here, we investigate the relationship between population size and complexity in music using Irish folk session tunes as a case study. Using analyses of a large online folk tune dataset, we show that popular tunes played by larger communities of musicians have diversified into a greater number of different versions which encompass more variation in melodic complexity compared with less popular tunes. However, popular tunes also tend to be intermediate in melodic complexity and variation in complexity for popular tunes is lower than expected given the increased number of tune versions. We also find that user preferences for individual tune versions are more skewed in popular tunes. Taken together, these results suggest that while larger populations create more frequent opportunities for musical innovation, they encourage convergence upon intermediate levels of melodic complexity due to a widespread inverse U-shaped relationship between complexity and aesthetic preference. We explore the assumptions underlying our empirical analyses further using simple simulations of tune diffusion through populations of different sizes, finding that a combination of biased copying and structured populations appears most consistent with our results. Our study demonstrates a unique relationship between population size and cultural complexity in the arts, confirming that the relationship between population size and cultural complexity is domain-dependent, rather than universal.
Citation
Street, S., Eerola, T., & Kendal, J. (2022). The role of population size in folk tune complexity. Humanities and Social Sciences Communications, 9, Article 152. https://doi.org/10.1057/s41599-022-01139-y
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 21, 2022 |
Online Publication Date | Apr 28, 2022 |
Publication Date | 2022 |
Deposit Date | May 12, 2022 |
Publicly Available Date | Jun 14, 2022 |
Journal | Humanities and Social Sciences Communications |
Electronic ISSN | 2662-9992 |
Publisher | Springer Nature |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Article Number | 152 |
DOI | https://doi.org/10.1057/s41599-022-01139-y |
Public URL | https://durham-repository.worktribe.com/output/1207537 |
Related Public URLs | https://psyarxiv.com/2he8k/ |
Files
Published Journal Article
(1.5 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Open Access This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article’s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article’s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/
You might also like
onsetsync: An R Package for Onset SynchronyAnalysis
(2024)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search