baldassarri baronchelli barrat caglioti castellano cattuto complexity dattoli evolutionary_dynamics granular_media granular_media herrmann information_theory innovation_dynamics kreyon language_dynamics loreto mari mukherjee petri pietronero puglisi quantum_optics self_organization servedio statistical_physics techno_social_systems tria zapperi zippers
2016 |
Monechi, Bernardo; Ruiz-Serrano, Alvaro; Tria, Francesca; Loreto, Vittorio Waves of Novelties in the Expansion into the Adjacent Possible Journal Article submitted to Scientific Reports, 2016. Abstract | Links | BibTeX | Tags: adjacent possible, complex systems, innovation, kreyon, popularity, trends @article{Monechi2016, title = {Waves of Novelties in the Expansion into the Adjacent Possible}, author = {Bernardo Monechi and Alvaro Ruiz-Serrano and Francesca Tria and Vittorio Loreto}, url = {http://www.socialdynamics.it/pubs/}, year = {2016}, date = {2016-03-21}, journal = {submitted to Scientific Reports}, abstract = {The emergence of novelties and their rise and fall in popularity is an ubiquitous phenomenon in human activities. The coexistence of always popular milestones with novel and sometimes ephemeral trends pervades technological, scientific and artistic production. By introducing suitable statistical measures, we demonstrate that different systems of human activities, i.e. the creation of hashtags in Twitter, the interaction with online program code repositories, the creation of texts and the listening of songs on an on-line platform, exhibit surprisingly similar properties. We then introduce a general framework to explain those regularities. We propose a simple mathematical model based on the expansion into the adjacent possible, that has been proven to be a very general and powerful mechanism able to explain many of the statistical patterns emerging in innovation dynamics, to which we add two crucial elements. On the one hand we quantify the idea that, while exploring a conceptual or physical space, inertia exists towards known already discovered elements. On the other hand, we highlight the role of the collective dynamics - where many users interact, in a direct or indirect way in the emergence and diffusion of novelties and innovations.}, keywords = {adjacent possible, complex systems, innovation, kreyon, popularity, trends}, pubstate = {published}, tppubtype = {article} } The emergence of novelties and their rise and fall in popularity is an ubiquitous phenomenon in human activities. The coexistence of always popular milestones with novel and sometimes ephemeral trends pervades technological, scientific and artistic production. By introducing suitable statistical measures, we demonstrate that different systems of human activities, i.e. the creation of hashtags in Twitter, the interaction with online program code repositories, the creation of texts and the listening of songs on an on-line platform, exhibit surprisingly similar properties. We then introduce a general framework to explain those regularities. We propose a simple mathematical model based on the expansion into the adjacent possible, that has been proven to be a very general and powerful mechanism able to explain many of the statistical patterns emerging in innovation dynamics, to which we add two crucial elements. On the one hand we quantify the idea that, while exploring a conceptual or physical space, inertia exists towards known already discovered elements. On the other hand, we highlight the role of the collective dynamics - where many users interact, in a direct or indirect way in the emergence and diffusion of novelties and innovations. |
Monechi, Bernardo; Gravino, Pietro; Servedio, Vito DP; Tria, Francesca; Loreto, Vittorio Significance and Popularity in Music Production Paper Proceeding submitted to PLoS ONE, 2016. Abstract | Links | BibTeX | Tags: complex networks, creativity, kreyon, music, popularity @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. |
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