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

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 …

Recent work has shown that different theoretical approaches to the dynamics of the
susceptible-infected-susceptible (SIS) model for epidemics lead to qualitatively different …

Dynamical systems running on the top of complex networks have been extensively
investigated for decades. But this topic still remains among the most relevant issues in …

We present a quenched mean-field (QMF) theory for the dynamics of the susceptible-
infected-susceptible (SIS) epidemic model on complex networks where dynamical …

Epidemic threshold has always been a very hot topic for studying epidemic dynamics on
complex networks. The previous studies have provided different theoretical predictions of …

The susceptible-infected-susceptible (SIS) model is a canonical model for emerging disease
outbreaks. Such outbreaks are naturally modeled as taking place on networks. A theoretical …

Numerical simulation of continuous-time Markovian processes is an essential and widely
applied tool in the investigation of epidemic spreading on complex networks. Due to the high …

Recent works have shown that the contact process running on the top of highly
heterogeneous random networks is described by the heterogeneous mean-field theory …

We discuss the majority vote model coupled with scale-free networks and investigate its
critical behavior. Previous studies point to a nonuniversal behavior of the majority vote …