What Countries Listen to: Analyzing the Network of Music Genres around the World
DOI:
https://doi.org/10.5753/isys.2019.597Keywords:
Complex networks, Network science, Music popularityAbstract
Music streaming platforms are increasingly popular, facilitating the access to music content. This effect extends the reach of different musical styles, increasing the diversity of listened music genres in different countries around the world. In order to better understand this diversity, in this paper we build and analyze a complex network of artists, music genres, and countries using data from Spotify. As a result, in addition to identifying communities of countries with similar music genres, we show how the diversity of music genres can influence the modeling and analysis of the considered network. We also classify the most commonly listened genres using centrality metrics and we analyze how the diffusion of genres occurs over time, including a case study with a viral music.
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Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment, 2008(10):P10008.
Bryan, N. J. and Wang, G. (2011). Musical influence network analysis and rank of sample-based music. In ISMIR, pages 329–334.
DeNora, T. (2000). Music in everyday life. Cambridge University Press.
Estadão (2017). A história real por trás de despacito, o hit do momento. https://cultura.estadao.com.br/noticias/musica,a-historia-real-por-tras-de-despacito-o-hit-do-momento, 70001836771. Acessado em: 14/09/2018.
Gleiser, P. M. and Danon, L. (2003). Community structure in jazz. Advances in complex systems, 6(04):565–573. IFPI (2017). IFPI facts and stats. http:// www.ifpi.org/facts-and-stats.php. Acessado em: 01/09/2017.
IFPI (2017). IFPI facts and stats. http://www.ifpi.org/facts-and-stats.php. Acessado em: 01/09/2017.
Lambiotte, R. and Ausloos, M. (2005). Uncovering collective listening habits and music genres in bipartite networks. Physical Review E, 72(6):066107.
Lambiotte, R. and Ausloos, M. (2006). On the genre-fication of music: a percolation approach. The European Physical Journal B-Condensed Matter and Complex Systems,50(1):183–188.
Lee, C. and Cunningham, P. (2012). The geographic flow of music. In Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pages 691–695. IEEE Computer Society.
Mondelli, M. L. B., Gadelha Jr, L. M., and Ziviani, A. (2018). O que os países escutam: Analisando a rede de gêneros musicais ao redor do mundo. In 7º Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2018), volume 7, pages 148–159. SBC.
Noise, E. (2017). Every Noise at Once. http://everynoise.com/engenremap.html. Acessado em: 01/09/2017.
Pereira, F. S. F., Linhares, C. D. G., Ponciano, J. R., Gama, J., de Amo, S., and Oliveira, G. M. B. (2018). That’s my jam! uma analise temporal sobre a evolucão das preferências dos usuarios em uma rede social de músicas. In 7º Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2018), volume 7, pages 160–171. SBC.
Rentfrow, P. J. (2012). The role of music in everyday life: Current directions in the social psychology of music. Social and personality psychology compass, 6(5):402–416.
Shakya, A., Gurung, B., Thapa, M. S., Rai, M., and Joshi, B. (2017). Music classification based on genre and mood. In International Conference on Computational Intelligence, Communications, and Business Analytics, pages 168–183. Springer.
Smith, R. D. (2006). The network of collaboration among rappers and its community structure. Journal of Statistical Mechanics: Theory and Experiment, 2006(02):P02006.
Trefzger, T., Rose, M., Baccarella, C., and Voigt, K.-I. (2015). Streaming killed the download star! how the business model of streaming services revolutionizes music distribution. Journal of Organizational Advancement (Online), Strategie and lnstitutional Studies, 7(1):29–39.
Veja (2017). Despacito é a música mais tocada na história do streaming.https://veja.abril.com.br/entretenimento/despacito-e-a-musica-mais-tocada-na-historia-do-streaming. Acessado em: 14/09/2018.
Vlegels, J. and Lievens, J. (2017). Music classification, genres, and taste patterns: A ground-up network analysis on the clustering of artist preferences. Poetics, 60:76–89.
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Published
2019-09-18
How to Cite
Mondelli, M. L. B., Gadelha Jr, L. M. R., & Ziviani, A. (2019). What Countries Listen to: Analyzing the Network of Music Genres around the World. ISys - Brazilian Journal of Information Systems, 12(3), 53–72. https://doi.org/10.5753/isys.2019.597
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