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The rhythm of Mexico: an exploratory data analysis of Spotify’s top 50

Author

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  • J. Manuel Pérez-Verdejo

    (Universidad Veracruzana
    Universidad Veracruzana)

  • C. A. Piña-García

    (Universidad Veracruzana)

  • Mario Miguel Ojeda

    (Universidad Veracruzana)

  • A. Rivera-Lara

    (Universidad Veracruzana)

  • L. Méndez-Morales

    (Universidad Veracruzana)

Abstract

Spotify has emerged as an important online platform for streaming digital music. A key aspect of Spotify is that it provides access to music on-demand to a worldwide level. In this regard, Spotify via its API permits to gain access to music-related data with the aim to know information about different parameters such as: artist, album, and genre. This paper aims to: (1) give an overview of the shared features of the songs that appeared at Mexico’s top 50 during 2019, (2) analyze how these features are related to a track permanence on the top 50; and (3) compare those results with the global top 50 chart.

Suggested Citation

  • J. Manuel Pérez-Verdejo & C. A. Piña-García & Mario Miguel Ojeda & A. Rivera-Lara & L. Méndez-Morales, 2021. "The rhythm of Mexico: an exploratory data analysis of Spotify’s top 50," Journal of Computational Social Science, Springer, vol. 4(1), pages 147-161, May.
    • Handle: RePEc:spr:jcsosc:v:4:y:2021:i:1:d:10.1007_s42001-020-00070-z
    DOI: 10.1007/s42001-020-00070-z
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    References listed on IDEAS

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    1. C. A. Piña-García & J. Mario Siqueiros-García & E. Robles-Belmont & Gustavo Carreón & Carlos Gershenson & Julio Amador Díaz López, 2018. "From neuroscience to computer science: a topical approach on Twitter," Journal of Computational Social Science, Springer, vol. 1(1), pages 187-208, January.
    2. Ben Lambert & Georgios Kontonatsios & Matthias Mauch & Theodore Kokkoris & Matthew Jockers & Sophia Ananiadou & Armand M. Leroi, 2020. "The pace of modern culture," Nature Human Behaviour, Nature, vol. 4(4), pages 352-360, April.
    3. Melissa Ellamil & Joshua Berson & Jen Wong & Louis Buckley & Daniel S Margulies, 2016. "One in the Dance: Musical Correlates of Group Synchrony in a Real-World Club Environment," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-15, October.
    4. Theodoros Giannakopoulos, 2015. "pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-17, December.
    5. Christine Bauer & Markus Schedl, 2019. "Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-36, June.
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