Towards a measure of harmonic complexity in western classical music
- Autores
- Buongiorno Nardelli, Marco; Culbreth, Garland; Fuentes, Miguel Angel
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We recently introduced the concept of dynamical score network to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex network, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative information about harmonic complexity from the analysis of the topology of these networks using state-of-the-art statistical mechanics techniques. Since complex networks support the communication of information by encoding the structure of allowed messages, we can quantify the information associated with locating specific addresses through the measure of the entropy of such network. In doing so, we then characterize properties of network topology, such as the degree distribution of a graph or the shortest paths between couples of nodes. Here, we report on two different evaluations of network entropy, diffusion entropy analysis (DEA) and the Kullback-Leibler divergence applied to the conditional degree matrix, and the measurements of complexity they provide, when applied to an extensive corpus of scores spanning 500 years of western classical music. Although the analysis is limited in scope, our results already provide quantitative evidence of an increase of such measures of harmonic complexity over the corpora we have analyzed.
Fil: Buongiorno Nardelli, Marco. University of North Texas; Estados Unidos
Fil: Culbreth, Garland. University of North Texas; Estados Unidos
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina - Materia
-
MUSIC ANALYSIS
MUSIC COMPLEXITY
MUSIC COMPOSITION
MUSIC EVOLUTION
MUSIC INFORMATION RETRIEVAL
MUSIC INNOVATION
MUSIC THEORY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/202560
Ver los metadatos del registro completo
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Towards a measure of harmonic complexity in western classical musicBuongiorno Nardelli, MarcoCulbreth, GarlandFuentes, Miguel AngelMUSIC ANALYSISMUSIC COMPLEXITYMUSIC COMPOSITIONMUSIC EVOLUTIONMUSIC INFORMATION RETRIEVALMUSIC INNOVATIONMUSIC THEORYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We recently introduced the concept of dynamical score network to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex network, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative information about harmonic complexity from the analysis of the topology of these networks using state-of-the-art statistical mechanics techniques. Since complex networks support the communication of information by encoding the structure of allowed messages, we can quantify the information associated with locating specific addresses through the measure of the entropy of such network. In doing so, we then characterize properties of network topology, such as the degree distribution of a graph or the shortest paths between couples of nodes. Here, we report on two different evaluations of network entropy, diffusion entropy analysis (DEA) and the Kullback-Leibler divergence applied to the conditional degree matrix, and the measurements of complexity they provide, when applied to an extensive corpus of scores spanning 500 years of western classical music. Although the analysis is limited in scope, our results already provide quantitative evidence of an increase of such measures of harmonic complexity over the corpora we have analyzed.Fil: Buongiorno Nardelli, Marco. University of North Texas; Estados UnidosFil: Culbreth, Garland. University of North Texas; Estados UnidosFil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; ArgentinaWorld Scientific2022-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/202560Buongiorno Nardelli, Marco; Culbreth, Garland; Fuentes, Miguel Angel; Towards a measure of harmonic complexity in western classical music; World Scientific; Advances In Complex Systems; 25; 5-6; 6-2022; 1-110219-52591793-6802CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1142/S0219525922400082info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/10.1142/S0219525922400082info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:11:30Zoai:ri.conicet.gov.ar:11336/202560instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:11:31.27CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Towards a measure of harmonic complexity in western classical music |
| title |
Towards a measure of harmonic complexity in western classical music |
| spellingShingle |
Towards a measure of harmonic complexity in western classical music Buongiorno Nardelli, Marco MUSIC ANALYSIS MUSIC COMPLEXITY MUSIC COMPOSITION MUSIC EVOLUTION MUSIC INFORMATION RETRIEVAL MUSIC INNOVATION MUSIC THEORY |
| title_short |
Towards a measure of harmonic complexity in western classical music |
| title_full |
Towards a measure of harmonic complexity in western classical music |
| title_fullStr |
Towards a measure of harmonic complexity in western classical music |
| title_full_unstemmed |
Towards a measure of harmonic complexity in western classical music |
| title_sort |
Towards a measure of harmonic complexity in western classical music |
| dc.creator.none.fl_str_mv |
Buongiorno Nardelli, Marco Culbreth, Garland Fuentes, Miguel Angel |
| author |
Buongiorno Nardelli, Marco |
| author_facet |
Buongiorno Nardelli, Marco Culbreth, Garland Fuentes, Miguel Angel |
| author_role |
author |
| author2 |
Culbreth, Garland Fuentes, Miguel Angel |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
MUSIC ANALYSIS MUSIC COMPLEXITY MUSIC COMPOSITION MUSIC EVOLUTION MUSIC INFORMATION RETRIEVAL MUSIC INNOVATION MUSIC THEORY |
| topic |
MUSIC ANALYSIS MUSIC COMPLEXITY MUSIC COMPOSITION MUSIC EVOLUTION MUSIC INFORMATION RETRIEVAL MUSIC INNOVATION MUSIC THEORY |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
We recently introduced the concept of dynamical score network to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex network, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative information about harmonic complexity from the analysis of the topology of these networks using state-of-the-art statistical mechanics techniques. Since complex networks support the communication of information by encoding the structure of allowed messages, we can quantify the information associated with locating specific addresses through the measure of the entropy of such network. In doing so, we then characterize properties of network topology, such as the degree distribution of a graph or the shortest paths between couples of nodes. Here, we report on two different evaluations of network entropy, diffusion entropy analysis (DEA) and the Kullback-Leibler divergence applied to the conditional degree matrix, and the measurements of complexity they provide, when applied to an extensive corpus of scores spanning 500 years of western classical music. Although the analysis is limited in scope, our results already provide quantitative evidence of an increase of such measures of harmonic complexity over the corpora we have analyzed. Fil: Buongiorno Nardelli, Marco. University of North Texas; Estados Unidos Fil: Culbreth, Garland. University of North Texas; Estados Unidos Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Filosóficas. - Sociedad Argentina de Análisis Filosófico. Instituto de Investigaciones Filosóficas; Argentina |
| description |
We recently introduced the concept of dynamical score network to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex network, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative information about harmonic complexity from the analysis of the topology of these networks using state-of-the-art statistical mechanics techniques. Since complex networks support the communication of information by encoding the structure of allowed messages, we can quantify the information associated with locating specific addresses through the measure of the entropy of such network. In doing so, we then characterize properties of network topology, such as the degree distribution of a graph or the shortest paths between couples of nodes. Here, we report on two different evaluations of network entropy, diffusion entropy analysis (DEA) and the Kullback-Leibler divergence applied to the conditional degree matrix, and the measurements of complexity they provide, when applied to an extensive corpus of scores spanning 500 years of western classical music. Although the analysis is limited in scope, our results already provide quantitative evidence of an increase of such measures of harmonic complexity over the corpora we have analyzed. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-06 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/202560 Buongiorno Nardelli, Marco; Culbreth, Garland; Fuentes, Miguel Angel; Towards a measure of harmonic complexity in western classical music; World Scientific; Advances In Complex Systems; 25; 5-6; 6-2022; 1-11 0219-5259 1793-6802 CONICET Digital CONICET |
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http://hdl.handle.net/11336/202560 |
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Buongiorno Nardelli, Marco; Culbreth, Garland; Fuentes, Miguel Angel; Towards a measure of harmonic complexity in western classical music; World Scientific; Advances In Complex Systems; 25; 5-6; 6-2022; 1-11 0219-5259 1793-6802 CONICET Digital CONICET |
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eng |
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