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Fame, Obscurity and Power Laws in Music History

Bibliographic Data

ID21749094
AuthorsAndrew Gustar (0000-0002-8894-2160, Hong Kong Metropolitan University, corresponding author)
Year2020
Volume14
Issue3-4
Pages186-215
Publication date2020-07-06
Open AccessYes
TypeARTICLE
VenueEmpirical Musicology Review (JOURNAL)
Journal identifiersISSN: 1559-5749 • E-ISSN: 1559-5749
PublisherThe Ohio State University Libraries (PUBLISHER • US)
DOI10.18061/emr.v14i3-4.7003
OpenAlexW3039885793
LanguageEN
References cited1

This paper investigates the processes leading to musical fame or obscurity, whether for composers, performers, or works themselves. It starts from the observation that the patterns of success, across many historical music datasets, follow a similar mathematical relationship known as a power law, often with an exponent approximately equal to two. It presents several simple models which can produce power law distributions. An examination of these models' transience characteristics suggests parallels with some historical music examples, giving clues to the ways that success and obscurity might emerge in practice and the extent to which success might be influenced by inherent musical quality. These models can be seen as manifestations of a more fundamental process resulting from the law of maximum entropy, subject to a constraint on the average value of the logarithm of the success measure. This implies that musical success is a multiplicative quality, and suggests that musical markets operate to strike a balance between familiarity (socio-cultural importance) and novelty (individual importance). The common power law exponent of two is seen to emerge as a consequence of the tendency for musical activity to be spread evenly across the log-success bands

Art · Economics · Epistemology · Literature · Musical · Musical form · Novelty · Parallels · Political science · Sociology · Complex Systems and Time Series Analysis · Law · Opinion Dynamics and Social Influence · Philosophy · Psychology · Social Psychology · Theoretical and Computational Physics

  • A Brief History of Generative Models for Power Law and Lognormal Distributions

    Open Access•Michael Mitzenmacher•Internet Mathematics•2004

Highly citedNo

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