In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

During pandemic events, strategies such as social distancing can be fundamental to reduce
simultaneous infections and mitigate the disease spreading, which is very relevant to the risk …

This book discusses the study and analysis of the physical aspects of social systems and
models, inspired by the analogy with familiar models of physical systems and possible …

Populations are seldom completely isolated from their environment. Individuals in a
particular geographic or social region may be considered a distinct network due to strong …

An extended SIR model, including several features of the recent COVID-19 outbreak, is
considered: the infected and recovered individuals can either be detected or undetected and …

Community lockdowns and travel restrictions are commonly employed to decelerate
epidemic spreading. We here use a stochastic susceptible-infectious-recovered model on …

One of the major issues in theoretical modeling of epidemic spreading is the development of
methods to control the transmission of an infectious agent. Human behavior plays a …

Moment-closure approximations are an important tool in the analysis of the dynamics on
both static and adaptive networks. Here, we provide a broad survey over different …

We study the critical effect of an intermittent social distancing strategy on the propagation of
epidemics in adaptive complex networks. We characterize the effect of our strategy in the …

The interplay between disease dynamics on a network and the dynamics of the structure of
that network characterizes many real-world systems of contacts. A continuous-time adaptive …