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Temporal Success Analyses in Music Collaboration Networks

Brazilian and Global Scenarios

Bibliographic Data

ID22102735
AuthorsMirella M MORO (0000-0002-0545-2001, Universidade Federal de Minas Gerais), Mariana O Silva (0000-0003-0110-9924, Universidade Federal de Minas Gerais), Glaucimara Pires Oliveira (0000-0002-7210-6408, Universidade Federal de Minas Gerais), Danilo B Seufitelli (0000-0002-0155-7631, Universidade Federal de Minas Gerais)
Year2023
Volume11
Issue2
Pages1-27
Publication date2023-08-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Vórtex (JOURNAL)
Journal identifiersISSN: 2317-9937 • E-ISSN: 2317-9937
PublisherUniversidade Estadual do Parana - Unespar (PUBLISHER)
DOI10.33871/23179937.2023.11.2.7185
OpenAlexW4385520012
LanguageEN
Citations received1
References cited22

Collaboration is a part of the music industry and has increased over recent decades; but little do we know about its effects on success and evolution. Our goal is to analyze how success has evolved over collaboration networks and compare its global scenario to a local, thriving one: the Brazilian music industry. Specifically, we build collaboration networks from data collected from Spotify's Global and Brazilian daily charts, analyze them and identify collaboration profiles in such networks. Analyses over their topological characteristics reveal collaboration patterns mapped into four different profiles: Standard, Niche, Ephemeral and Absent, where the two first have a higher level of success. Furthermore, we do deeper by evaluating the temporal evolution of such profiles through case studies: pop and k-pop globally, and pop and forró in Brazil. Overall, our findings emphasize the importance of collaboration profiles in assessing success, and show differences between the global and Brazilian scenarios

Data science · Economic geography · Ephemeral key · Geography · Global network · Music education · Music industry · Sociology · Telecommunications · Thriving · Caching and Content Delivery · Complex Network Analysis Techniques · Computer Science · Digital Platforms and Economics

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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Open DOIOpen Access
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