Exceptional Collaboration Patterns in Music Genre Networks

Abstract

Music is one of the world’s most important cultural forms, and also one of the most dynamic. Such a dynamic nature can directly influence artists’ careers and reflect their success. In this work, we combine social networks and data mining techniques to analyze musical success from a genre-oriented perspective. Our goal is to mine exceptional collaboration patterns in success-based genre networks where the success deviates from the average. We conduct our analyses for global and eight regional markets, and the results show that each market has specific patterns of genre connections in which success is above average. Hence, our findings serve as a first step in developing strategies to promote future song releases across the world.

MGD+: An Enhanced Music Genre Dataset with Success-based Networks

“…At the same time, the increasing prevalence of collaborations exemplifies the inherently unpredictable nature of the music market. For example, in [Oliveira and Moro 2023], our objective is to delve deeper into exploring genre collaborations by using genre networks and collaboration profiles to uncover remarkable patterns in successful songs from recent years. We employ a methodology that combines social network analysis and data mining techniques to address the following research question:…”