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

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 differe...

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Veröffentlicht in:	Journal of computational social science 2021-05, Vol.4 (1), p.147-161
Hauptverfasser:	Pérez-Verdejo, J. Manuel, Piña-García, C. A., Ojeda, Mario Miguel, Rivera-Lara, A., Méndez-Morales, L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data/Analytics Complex Systems Computational Linguistics Research Article Simulation and Modeling Social Media Social Sciences
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	2432-2717 2432-2725
DOI:	10.1007/s42001-020-00070-z