Detecting Collaboration Profiles in Success-based Music Genre Networks

ISMIR 2020 Pre-publication Release

As the landscape of the music industry becomes more complex, the strategy of reaching a wider audience through collaborative means has proven its effectiveness in maintaining the presence of artists in the market. To better understand which are the real factors that compose a successful collaboration, in this work, we analyze and identify collaboration profiles in success-based music genre networks.

ISMIR Page Supplementary Material Virtual Poster

Content

Content

Music Genre Dataset

Music Genre Dataset

896

Music Genres

13,880

Songs

3,612

Artists

15.7MB

Data

Genre Networks

Success-based genre collaboration networks


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Genre Mapping

Mapping from Spotify genres to super-genres


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Artist Networks

Success-based artist collaboration networks


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Artists

Some artist data


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Hit Songs

Hit Song data and features


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Charts

Enhanced data from Spotify Weekly Top Charts


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Full Music Genre Dataset (MGD) is freely available for download.

Music Genre Networks

Music Genre Networks

We build a music genre collaboration network for each market and year to find out how genres connect

Our Team

Our Team

Gabriel Oliveira

Mariana Silva

Danilo Seufitelli

Anisio Lacerda

Mirella Moro

Acknowledgments

This work is supported by CAPES, CNPq and FAPEMIG, Brazil.