Vito Latora

TL;DR: An algorithm of hierarchical clustering that consists in finding and removing iteratively the edge with the highest information centrality is developed that is very effective especially when the communities are very mixed and hardly detectable by the other methods.

TL;DR: A modeling framework for growing multiplexes where a node can belong to different networks and a number of relevant ingredients for modeling their evolution such as the coupling between the different layers and the distribution of node arrival times are identified.

TL;DR: If the thermodynamic limit is taken before the infinite-time limit, the system does not relax to the Boltzmann-Gibbs equilibrium, but exhibits different equilibrium properties, characterized by stable non-Gaussian velocity distributions, Lévy walks, and dynamical correlation in phase space.

TL;DR: A Kuramoto model in which the oscillators are associated with the nodes of a complex network and the interactions include a phase frustration, thus preventing full synchronization is studied, suggesting that anatomical symmetry plays a role in neural synchronization by determining correlated functional modules across distant locations.

TL;DR: This work studies a model in which prisoner's dilemma players are allowed to move in a two-dimensional plane and shows that cooperation can survive in such a system provided that both the temptation to defect and the velocity at which agents move are not too high.