Vito Latora

TL;DR: In this article, a general framework is proposed to define and extract the core-periphery structure of multi-layer networks by explicitly taking into account the connectivity of the nodes at each layer.

TL;DR: A brief pedagogical guided tour of the most recent applications of statistical mechanics to well defined nonlinear dynamical systems, ranging from one-dimensional dissipative maps to many-body Hamiltonian systems, can be found in this paper.

TL;DR: In this article, a new method of statistical analysis of nucleotide sequences yielding the true scaling without requiring any form of de-trending is proposed, with the help of artificial sequences that are proved to be statistically equivalent to the real DNA sequences, finding that power-law correlations are present in both coding and non-coding sequences, in accordance with the recent work of other authors.

TL;DR: This work considers and compares the results for two di/erent networktopologies: the Erd1 os–R2 enyi random graph and the Barab2 asi–Albert scale-free network.

TL;DR: It is found that the motion of individuals is not only constrained by physical distances, but also strongly shaped by the presence of socio-economic areas, which means that long-term memory in the time-order of visited locations is the essential ingredient for modeling the trajectories.