New Visual Tools for Rhythmic Partitioning Analysis of Musical Texture. Sampaio, M., Gentil-Nunes, P., Oliveira, V. S. d., Oliveira, S. M. d., & Oliveira, J. C. Revista Musica Theorica, 7(2):215–246, 2022.
New Visual Tools for Rhythmic Partitioning Analysis of Musical Texture [link]Paper  doi  abstract   bibtex   
The Partitional Theory of Texture provides a graphical tool, the partitiogram, to show relations between textural partitions. Despite its great utility, the partitiogram does not identify the occurrence frequency of each partition in a piece. In this paper, we propose two new partitiograms to represent partitions' occurrence frequency and to show partitions' differences among the sections of a given piece. The proposed tools made it possible to identify relevant aspects of the texture in nine works analyzed.
@Article{          sampaio.ea2022-new,
    author       = {{Sampaio}, {Marcos da Silva} and Gentil-Nunes, Pauxy and
                   Oliveira, Vicente Sanches de and Oliveira, Sidnei Marques
                   de and Oliveira, Jaderson Cardona},
    year         = {2022},
    title        = {New Visual Tools for Rhythmic Partitioning Analysis of
                   Musical Texture},
    abstract     = {The Partitional Theory of Texture provides a graphical
                   tool, the partitiogram, to show relations between textural
                   partitions. Despite its great utility, the partitiogram
                   does not identify the occurrence frequency of each
                   partition in a piece. In this paper, we propose two new
                   partitiograms to represent partitions' occurrence
                   frequency and to show partitions' differences among the
                   sections of a given piece. The proposed tools made it
                   possible to identify relevant aspects of the texture in
                   nine works analyzed.},
    doi          = {10.52930/mt.v7i2.240},
    journal      = {Revista Musica Theorica},
    keywords     = {Rhythmic Partitioning Analysis, Textural Analysis, Music
                   Analysis, Python scripts, Music21},
    number       = {2},
    pages        = {215--246},
    url          = {https://revistamusicatheorica.tema.mus.br/index.php/musica-theorica/article/view/240},
    volume       = {7}
}

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