IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v4y2021i1d10.1007_s42001-020-00070-z.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-020-00070-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s42001-020-00070-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salva Duran-Nebreda & Michael J. O’Brien & R. Alexander Bentley & Sergi Valverde, 2022. "Dilution of expertise in the rise and fall of collective innovation," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    2. Anna Ruelens, 2022. "Analyzing user-generated content using natural language processing: a case study of public satisfaction with healthcare systems," Journal of Computational Social Science, Springer, vol. 5(1), pages 731-749, May.
    3. Dayong Zhang & Jun Li & Qiang Ji & Shunsuke Managi, 2021. "Climate variations, culture and economic behaviour of Chinese households," Climatic Change, Springer, vol. 167(1), pages 1-18, July.
    4. Pablo Bello & David Garcia, 2021. "Cultural Divergence in popular music: the increasing diversity of music consumption on Spotify across countries," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcsosc:v:4:y:2021:i:1:d:10.1007_s42001-020-00070-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.