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  First-mover advantage in music

Sobchuk, O., Youngblood, M., & Morin, O. (2024). First-mover advantage in music. EPJ Data Science, 13: 37. doi:10.1140/epjds/s13688-024-00476-z.

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Sobchuck_First-mover_ EPJDatSci_2024.pdf (Publisher version), 3MB
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Sobchuck_First-mover_ EPJDatSci_2024.pdf
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 Creators:
Sobchuk, Oleg1, Author                 
Youngblood, Mason, Author                 
Morin, Olivier, Author                 
Affiliations:
1Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2173689              

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Free keywords: First-mover advantage, Innovation, Success, Music, Genre
 Abstract: Why do some songs and musicians become successful while others do not? We show that one of the reasons may be the “first-mover advantage”: artists that stand at the foundation of new music genres tend to be more successful than those who join these genres later on. To test this hypothesis, we have analyzed a massive dataset of over 920,000 songs, including 110 music genres: 10 chosen intentionally and preregistered, and 100 chosen randomly. For this, we collected the data from two music services: Spotify, which provides detailed information about songs’ success (the precise number of times each song was listened to), and Every Noise at Once, which provides detailed genre tags for musicians. 91 genres, out of 110, show the first-mover advantage—clearly suggesting that it is an important mechanism in music success and evolution.

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Language(s): eng - English
 Dates: 2024-04-262024-05-17
 Publication Status: Published online
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjds/s13688-024-00476-z
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Title: EPJ Data Science
  Abbreviation : EPJ Data Sci.
Source Genre: Journal
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Publ. Info: Berlin ; Heidelberg [u.a.] : SpringerOpen
Pages: - Volume / Issue: 13 Sequence Number: 37 Start / End Page: - Identifier: ISSN: 2193-1127
CoNE: https://pure.mpg.de/cone/journals/resource/2193-1127