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

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Smart Objects and Technologies for Social Good (GOODTECHS 2017)

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.

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Acknowledgment

This work is partially supported by the European Project SoBigData: Social Mining & Big Data Ecosystem, http://www.sobigdata.eu. This work is partially supported by the European Communitys H2020 Program under the funding scheme “INFRAIA-1-2014-2015: Research Infrastructures” grant agreement, http://www.sobigdata.eu, GS501100001809, 654024 “SoBigData: Social Mining & Big Data Ecosystem”.

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Pisa, Pisa, Italy

    Laura Pollacci, Giulio Rossetti & Dino Pedreschi

  2. ISTI-CNR, Pisa, Italy

    Riccardo Guidotti & Fosca Giannotti

Authors
  1. Laura Pollacci
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  2. Riccardo Guidotti
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  3. Giulio Rossetti
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  4. Fosca Giannotti
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  5. Dino Pedreschi
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Corresponding author

Correspondence to Laura Pollacci .

Editor information

Editors and Affiliations

  1. University of Pisa, Pisa, Italy

    Barbara Guidi

  2. University of Pisa, Pisa, Italy

    Laura Ricci

  3. Polytechnic University of Valencia, Valencia, Spain

    Carlos Calafate

  4. University of Padua, Padua, Italy

    Ombretta Gaggi

  5. University of Antwerp, Antwerp, Belgium

    Johann Marquez-Barja

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pollacci, L., Guidotti, R., Rossetti, G., Giannotti, F., Pedreschi, D. (2018). The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis. In: Guidi, B., Ricci, L., Calafate, C., Gaggi, O., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-319-76111-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-76111-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76110-7

  • Online ISBN: 978-3-319-76111-4

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