190 citations · 806 across the 24 of their papers we have counts for
25 papers
Universalities in the Avalanche Dynamics of Novelties and Non-Novelties and some Notes on the Heaps law
Filippo Santoro, Alberto Petri, Francesca Tria
Unprecedented events intertwine with the repetition of the past in natural phenomena and human activities. Key statistical patterns, such as Heaps' and Taylor's laws and Zipf's law…
Inference through innovation processes tested in the authorship attribution task
Giulio Tani Raffaelli, Margherita Lalli, Francesca Tria
Urn models for innovation capture fundamental empirical laws shared by several real-world processes. The so-called urn model with triggering includes, as particular cases, the urn…
Taylor's law in innovation processes
F. Tria, I. Crimaldi, G. Aletti +1
Taylor's law quantifies the scaling properties of the fluctuations of the number of innovations occurring in open systems. Urn based modelling schemes have already proven to be eff…
Zipf's, Heaps' and Taylor's laws are determined by the expansion into the adjacent possible
Francesca Tria, Vittorio Loreto, Vito D. P. Servedio
Zipf's, Heaps' and Taylor's laws are ubiquitous in many different systems where innovation processes are at play. Together, they represent a compelling set of stylized facts regard…
Dynamics on expanding spaces: modeling the emergence of novelties
Vittorio Loreto, Vito D. P. Servedio, Steven H. Strogatz +1
Novelties are part of our daily lives. We constantly adopt new technologies, conceive new ideas, meet new people, experiment with new situations. Occasionally, we as individuals, i…
Maximum entropy models capture melodic styles
Jason Sakellariou, Francesca Tria, Vittorio Loreto +1
We introduce a Maximum Entropy model able to capture the statistics of melodies in music. The model can be used to generate new melodies that emulate the style of the musical corpu…