RT journal article
T1 Music Mobility Patterns: How Songs Propagate Around the World Through Spotify
A1 Terroso Sáenz, Fernando
A1 Soto, Jesús
A1 Muñoz Ortega, Andrés
A2 Ingeniería Informática
K1 Music Streaming Services
K1 Mobility Patterns
K1 Spotify
K1 Prediction
AB Nowadays, music streaming services allow users to get instant access to an unprecedented amount of music of any type. This entails that songs, including potential new hits, can be discovered by listeners in any part of the globe and their propagation can be tracked through these streaming services. In this context, the present work focuses on recognizing the mobility patterns that songs follow in such a propagation among different countries of the world. To this end, this work defines a novel mechanism to uncover such mobility patterns of music from a directed-graph structure where nodes are countries and each edge reflects a frequent propagation of songs between pairs of countries. The resulting patterns reflect strong correlations with the migratory flows and the cultural and social similarities among regions. For instance, a propagation pattern was observed among North European countries with a good command of English. From such patterns, potential predictors for anticipating the mobility of a song are discussed. The results of this work can be beneficial for record companies and artists in their marketing campaigns for album releases and the organization of concerts and festivals.
PB Elsevier
SN 0031-3203
YR 2023
FD 2023
LK http://hdl.handle.net/10498/36899
UL http://hdl.handle.net/10498/36899
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-nov-2026