Modeling music popularity as an epidemic: insights from the Brazilian market

Social networks have drastically changed the music market scenario, enabling songs to reach massive audiences in record time. Given the fast-paced nature of music popularity, this work investigates whether epidemic models can effectively capture how songs gain traction. We apply the Susceptible-Infected-Recovered (SIR) model to analyze music virality and success in Brazil. Virality reflects a song’s rapid surge in popularity, whereas success represents its long-term endurance. By comparing the model’s fit for both trajectories, we assess its strengths and limitations in capturing music popularity trends. Our findings reveal that SIR provides a better fit for virality than for long-term success, reinforcing the differences between both processes and, consequently, offering a new perspective on how songs become popular in the digital age.

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Publication Details

Published
2025-07-20
DOI
https://doi.org/10.5753/brasnam.2025.8760
Primary Topic
Music History and Culture
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling music popularity as an epidemic: insights from the Brazilian market

Gabriel P. Oliveira, Mirella M. Moro, Ana Paula Couto da Silva, Luca Vassio
Music History and Culture
article

Modeling music popularity as an epidemic: insights from the Brazilian market

Gabriel P. Oliveira, Mirella M. Moro, Ana Paula Couto da Silva, Luca Vassio
article en

Abstract

Social networks have drastically changed the music market scenario, enabling songs to reach massive audiences in record time. Given the fast-paced nature of music popularity, this work investigates whether epidemic models can effectively capture how songs gain traction. We apply the Susceptible-Infected-Recovered (SIR) model to analyze music virality and success in Brazil. Virality reflects a song’s rapid surge in popularity, whereas success represents its long-term endurance. By comparing the model’s fit for both trajectories, we assess its strengths and limitations in capturing music popularity trends. Our findings reveal that SIR provides a better fit for virality than for long-term success, reinforcing the differences between both processes and, consequently, offering a new perspective on how songs become popular in the digital age.

Politecnico di Torino (IT)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 77%
Music History and Culture
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