Nowadays there is a growing standardization of musical contents. Our finding comes out from a cross-service multi-level dataset analysis where we study how geography affects the music production. The investigation presented in this paper highlights the existence of a “fractal” musical structure that relates the technical characteristics of the music produced at regional, national and world level. Moreover, a similar structure emerges also when we analyze the musicians’ popularity and the polarity of their songs defined as the mood that they are able to convey. Furthermore, the clusters identified are markedly distinct one from another with respect to popularity and sentiment.

The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis

Giannotti F.;Pedreschi D.
2018

Abstract

Nowadays there is a growing standardization of musical contents. Our finding comes out from a cross-service multi-level dataset analysis where we study how geography affects the music production. The investigation presented in this paper highlights the existence of a “fractal” musical structure that relates the technical characteristics of the music produced at regional, national and world level. Moreover, a similar structure emerges also when we analyze the musicians’ popularity and the polarity of their songs defined as the mood that they are able to convey. Furthermore, the clusters identified are markedly distinct one from another with respect to popularity and sentiment.
2018
Settore INF/01 - Informatica
3rd International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2017
Pisa
2017
Smart Objects and Technologies for Social Good : Third International Conference, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017, Proceedings
Springer
978-3-319-76110-7
Hierarchical clustering; Multi-source analytics; Music data analytics; Sentiment pattern discovery
   Horizon 2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/114494
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