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Science of Networks and Music: A New Approach on Musical Analysis and Creation

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Applications of Evolutionary Computing (EvoWorkshops 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3907))

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Abstract

Science of Networks is a very young discipline whose results have rapidly influenced many different fields of scientific research. In this paper we present some experimentations of a new approach on generative music based on small-world networks. The basic idea of this work is that network can be a useful instrument for musical modeling, analysis and creation. We studied over 100 musical compositions of different genres (classical, pop, rock) by means of science of networks, then used this data for generating algorithms for musical creation and author attribution. The first step of this work is the implementation of a software that allows to represent and analyse musical compositions, then we developed a genetic algorithm for the production of networks with particular features. These networks are finally used for the generation of self-organized melodies and scales.

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Author information

Authors and Affiliations

  1. Department of Linguistics, University of Calabria, Cubo 17b Via P. Bucci, Arcavacata di Rende(CS), 87036, Italy

    Gianfranco Campolongo & Stefano Vena

Authors
  1. Gianfranco Campolongo
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  2. Stefano Vena
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Editor information

Editors and Affiliations

  1. Johannes Gutenberg University, Mainz, Germany

    Franz Rothlauf

  2. Institute AIFB, University of Karlsruhe, 76128, Karlsruhe, Germany

    Jürgen Branke

  3. Dipartimento di Ingegneria dell’Informazione, Università di Parma,  

    Stefano Cagnoni

  4. Centre of Informatics and Systems of the University of Coimbra,  

    Ernesto Costa

  5. Dept. LCC, Universidad de Málaga, Spain

    Carlos Cotta

  6. Institute of Computer Science, University of Bremen, 28359, Bremen, Germany

    Rolf Drechsler

  7. INRIA Saclay - Ile-de-France, Parc Orsay Université, 4, rue Jacques Monod, 91893, ORSAY Cedex, France

    Evelyne Lutton

  8. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, 3030, Coimbra, Portugal

    Penousal Machado

  9. Dartmouth College, Lebanon, NH, USA

    Jason H. Moore

  10. Universidade de A Coruña, CP 15071, A Coruña, Spain

    Juan Romero

  11. School of Computing Sciences, UEA Norwich, University of East Anglia, NR4 7TJ, Norwich, UK

    George D. Smith

  12. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

  13. Kyushu University, Japan

    Hideyuki Takagi

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© 2006 Springer-Verlag Berlin Heidelberg

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Campolongo, G., Vena, S. (2006). Science of Networks and Music: A New Approach on Musical Analysis and Creation. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science, vol 3907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11732242_61

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  • DOI: https://doi.org/10.1007/11732242_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33237-4

  • Online ISBN: 978-3-540-33238-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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