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Main Authors: Figueiredo, Flavio, Panoutsos, Tales, Andrade, Nazareno
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.15996
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author Figueiredo, Flavio
Panoutsos, Tales
Andrade, Nazareno
author_facet Figueiredo, Flavio
Panoutsos, Tales
Andrade, Nazareno
contents Analyzing musical influence networks, such as those formed by artist influence or sampling, has provided valuable insights into contemporary Western music. Here, computational methods like centrality rankings help identify influential artists. However, little attention has been given to how influence changes over time. In this paper, we apply Bayesian Surprise to track the evolution of musical influence networks. Using two networks -- one of artist influence and another of covers, remixes, and samples -- our results reveal significant periods of change in network structure. Additionally, we demonstrate that Bayesian Surprise is a flexible framework for testing various hypotheses on network evolution with real-world data.
format Preprint
id arxiv_https___arxiv_org_abs_2410_15996
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Surprising Patterns in Musical Influence Networks
Figueiredo, Flavio
Panoutsos, Tales
Andrade, Nazareno
Information Retrieval
Analyzing musical influence networks, such as those formed by artist influence or sampling, has provided valuable insights into contemporary Western music. Here, computational methods like centrality rankings help identify influential artists. However, little attention has been given to how influence changes over time. In this paper, we apply Bayesian Surprise to track the evolution of musical influence networks. Using two networks -- one of artist influence and another of covers, remixes, and samples -- our results reveal significant periods of change in network structure. Additionally, we demonstrate that Bayesian Surprise is a flexible framework for testing various hypotheses on network evolution with real-world data.
title Surprising Patterns in Musical Influence Networks
topic Information Retrieval
url https://arxiv.org/abs/2410.15996