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Western classical music development: a statistical analysis of composers similarity, differentiation and evolution

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  • Patrick Georges

    (University of Ottawa)

Abstract

This paper proposes a statistical analysis that captures similarities and differences between classical music composers with the eventual aim to understand why particular composers ‘sound’ different even if their ‘lineages’ (influences network) are similar or why they ‘sound’ alike if their ‘lineages’ are different. In order to do this we use statistical methods and measures of association or similarity (based on presence/absence of traits such as specific ‘ecological’ characteristics and personal musical influences) that have been developed in biosystematics, scientometrics, and bibliographic coupling. This paper also represents a first step towards a more ambitious goal of developing an evolutionary model of Western classical music.

Suggested Citation

  • Patrick Georges, 2017. "Western classical music development: a statistical analysis of composers similarity, differentiation and evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 21-53, July.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:1:d:10.1007_s11192-017-2387-x
    DOI: 10.1007/s11192-017-2387-x
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    References listed on IDEAS

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    1. Charles H. Smith & Patrick Georges & Ngoc Nguyen, 2015. "Statistical tests for ‘related records’ search results," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1665-1677, December.
    2. repec:ucp:bkecon:9780226320625 is not listed on IDEAS
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    Cited by:

    1. Patrick Georges & Aylin Seckin, 2022. "Music information visualization and classical composers discovery: an application of network graphs, multidimensional scaling, and support vector machines," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2277-2311, May.
    2. Patrick Georges & Ngoc Nguyen, 2019. "Visualizing music similarity: clustering and mapping 500 classical music composers," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 975-1003, September.

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