@proceedings{Monechi2016b,
title = {Significance and Popularity in Music Production Paper},
author = {Bernardo Monechi and Pietro Gravino and Vito DP Servedio and Francesca Tria and Vittorio Loreto},
url = {http://xtribe.eu/sites/default/files/kreyon_files/Significance_and_Popularity_in_Music_Production.pdf},
year = {2016},
date = {2016-03-05},
journal = {submitted to "ICCC 2016 - The Seventh International Conference on Computational Creativity"},
publisher = {submitted to PLoS ONE},
abstract = {In the world of creative productions there is a constant struggle to achieve fame and popularity. While highly popular creations are usually well remembered throughout the years, many influential works that did not achieve that status are long-forgotten. Due to their relevance for the whole artistic production, it is important to identify them and save their memory for obvious cultural reasons. In this paper we focus on the musical context and we analyze the dynamics of the tagging process on Last.fm, an on-line catalog of music albums. We define a set of general metrics aiming at characterizing the creative potential and the long-term significance of creative products and we apply them to the case of musical albums. We then adopt these metrics to implement an automated prediction method of both the commercial success of a creation and its belonging to expert validated lists of particularly creative and important works. We show that our metrics are not only useful to asses such predictions, but can also highlight important differences between culturally relevant and simply popular products of human creative production.},
keywords = {complex networks, creativity, kreyon, music, popularity},
pubstate = {published},
tppubtype = {proceedings}
}
In the world of creative productions there is a constant struggle to achieve fame and popularity. While highly popular creations are usually well remembered throughout the years, many influential works that did not achieve that status are long-forgotten. Due to their relevance for the whole artistic production, it is important to identify them and save their memory for obvious cultural reasons. In this paper we focus on the musical context and we analyze the dynamics of the tagging process on Last.fm, an on-line catalog of music albums. We define a set of general metrics aiming at characterizing the creative potential and the long-term significance of creative products and we apply them to the case of musical albums. We then adopt these metrics to implement an automated prediction method of both the commercial success of a creation and its belonging to expert validated lists of particularly creative and important works. We show that our metrics are not only useful to asses such predictions, but can also highlight important differences between culturally relevant and simply popular products of human creative production.
