Universality of preference behaviors in online music-listener bipartite
networks: A Big Data analysis
- URL: http://arxiv.org/abs/2212.13139v1
- Date: Mon, 26 Dec 2022 12:50:56 GMT
- Title: Universality of preference behaviors in online music-listener bipartite
networks: A Big Data analysis
- Authors: Xiao-Pu Han, Fen Lin, Jonathan J.H. Zhu, Tarik Hadzibeganovic
- Abstract summary: We investigate the formation of musical preferences of millions of users of the NetEase Cloud Music (NCM), one of the largest online music platforms in China.
Our analyses address the decay patterns of music influence, users' sensitivity to music, age and gender differences, and their relationship to regional economic indicators.
- Score: 4.062544367625752
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We investigate the formation of musical preferences of millions of users of
the NetEase Cloud Music (NCM), one of the largest online music platforms in
China. We combine the methods from complex networks theory and information
sciences within the context of Big Data analysis to unveil statistical patterns
and community structures underlying the formation and evolution of musical
preference behaviors. Our analyses address the decay patterns of music
influence, users' sensitivity to music, age and gender differences, and their
relationship to regional economic indicators. Employing community detection in
user-music bipartite networks, we identified eight major cultural communities
in the population of NCM users. Female users exhibited higher within-group
variability in preference behavior than males, with a major transition
occurring around the age of 25. Moreveor, the musical tastes and the preference
diversity measures of women were also more strongly associated with economic
factors. However, in spite of the highly variable popularity of music tracks
and the identified cultural and demographic differences, we observed that the
evolution of musical preferences over time followed a power-law-like decaying
function, and that NCM listeners showed the highest sensitivity to music
released in their adolescence, peaking at the age of 13. Our findings suggest
the existence of universal properties in the formation of musical tastes but
also their culture-specific relationship to demographic factors, with
wide-ranging implications for community detection and recommendation system
design in online music platforms.
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