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

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 ‘lineage...

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Detalles Bibliográficos
Autor principal: Georges, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486899/
https://www.ncbi.nlm.nih.gov/pubmed/28725093
http://dx.doi.org/10.1007/s11192-017-2387-x
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author Georges, Patrick
author_facet Georges, Patrick
author_sort Georges, Patrick
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description 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.
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spelling pubmed-54868992017-07-17 Western classical music development: a statistical analysis of composers similarity, differentiation and evolution Georges, Patrick Scientometrics Article 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. Springer Netherlands 2017-04-22 2017 /pmc/articles/PMC5486899/ /pubmed/28725093 http://dx.doi.org/10.1007/s11192-017-2387-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Article
Georges, Patrick
Western classical music development: a statistical analysis of composers similarity, differentiation and evolution
title Western classical music development: a statistical analysis of composers similarity, differentiation and evolution
title_full Western classical music development: a statistical analysis of composers similarity, differentiation and evolution
title_fullStr Western classical music development: a statistical analysis of composers similarity, differentiation and evolution
title_full_unstemmed Western classical music development: a statistical analysis of composers similarity, differentiation and evolution
title_short Western classical music development: a statistical analysis of composers similarity, differentiation and evolution
title_sort western classical music development: a statistical analysis of composers similarity, differentiation and evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486899/
https://www.ncbi.nlm.nih.gov/pubmed/28725093
http://dx.doi.org/10.1007/s11192-017-2387-x
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