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

  • Gianfranco Campolongo
  • Stefano Vena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3907)

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.

Keywords

Genetic Algorithm Preferential Attachment Average Path Length Author Attribution Musical Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gianfranco Campolongo
    • 1
  • Stefano Vena
    • 1
  1. 1.Department of LinguisticsUniversity of CalabriaArcavacata di Rende(CS)Italy

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