An epidemic disease caused by a new coronavirus has spread in Northern Italy with a
strong contagion rate. We implement an SEIR model to compute the infected population and …

We employ the horizontal visibility algorithm to map the velocity and acceleration time series
in turbulent flows with different Reynolds numbers, onto complex networks. The universal …

Among various strategies to analyze spatiotemporal aero-hydro acoustic field, complex
networks are a novel technique to deal with the acoustic pressure signals (APSs) which can …

Time series often exhibit a combination of long-range drift and short-term stochastic
fluctuations. Traditional methods for analyzing such series involve fitting regression models …

We study the evolution of a social network with friendly or enmity connections into a
balanced state by introducing a dynamical model with an intrinsic randomness, similar to …

Networks of excitable nodes have recently attracted much attention particularly in regards to
neuronal dynamics, where criticality has been argued to be a fundamental property …

In order to extract correlation information inherited in stochastic time series, the visibility
graph algorithm has been recently proposed, by which a time series can be mapped onto a …

Typically, contagion strength is modeled by a transmission rate λ, whereby all nodes in a
network are treated uniformly in a mean-field approximation. However, local agents react …

We propose and study a model of spreading which takes into account the strength or quality
of contagions as well as the local dynamics occurring at various nodes. The model exhibits …