3 papers
physics.soc-ph2024
Economic Complexity in Mono-Partite Networks
Vito D. P. Servedio, Alessandro Bellina, Emanuele Calò +1
Initially designed to predict and explain the economic trajectories of countries, cities, and regions, economic complexity has been found applicable in diverse contexts such as eco…
cond-mat.dis-nn2021
The emergence of a concept in shallow neural networks
Elena Agliari, Francesco Alemanno, Adriano Barra +1
We consider restricted Boltzmann machine (RBMs) trained over an unstructured dataset made of blurred copies of definite but unavailable ``archetypes'' and we show that there exists…
physics.soc-ph2019
Dynamical approach to Zipf's law
Giordano De Marzo, Andrea Gabrielli, Andrea Zaccaria +1
The rank-size plots of a large number of different physical and socio-economic systems are usually said to follow Zipf's law, but a unique framework for the comprehension of this u…