Contributo in atti di convegno, 2018, ENG, 10.1007/978-3-319-76111-4_19

The fractal dimension of music: geography, popularity and sentiment analysis

Pollacci L.; Rossetti G.; Guidotti R.; Giannotti F.; Pedreschi D.

Department of Computer Science, University of Pisa, Pisa, Italy; CNR-ISTI, Pisa, Italy; Department of Computer Science, University of Pisa - CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Department of Computer Science, University of Pisa - CNR-ISTI, Pisa, Italy

Nowadays there is a growing standardization of musical con- tents. 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' popular- ity 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.

GOODTECHS 2017 - Third International Conference on Smart Objects and Technologies for Social Good, pp. 183–194, Pisa, Italy, 29-30 November 2017

Keywords

Music data analytics, Hierarchical clustering, Sentiment pattern discovery, Multi-source analytics

CNR authors

Pedreschi Dino, Guidotti Riccardo, Giannotti Fosca, Rossetti Giulio

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 384754

Year: 2018

Type: Contributo in atti di convegno

Creation: 2018-03-06 14:55:20.000

Last update: 2019-07-17 14:44:33.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:384754

DOI: 10.1007/978-3-319-76111-4_19

Scopus: 2-s2.0-85043585685