In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

Many real-world networks display a community structure. We study two random graph
models that create a network with similar community structure as a given network. One …

Complex networks appear in almost every aspect of science and technology. Previous work
in network theory has focused primarily on analyzing single networks that do not interact …

The spread of infectious diseases fundamentally depends on the pattern of contacts
between individuals. Although studies of contact networks have shown that heterogeneity in …

Nodes in a complex networked system often engage in more than one type of interactions
among them; they form a multiplex network with multiple types of links. In real-world complex …

Mean-field analysis is an important tool for understanding dynamics on complex networks.
However, surprisingly little attention has been paid to the question of whether mean-field …

We present an analytical approach to determining the expected cascade size in a broad
range of dynamical models on the class of random networks with arbitrary degree …

It was recently found that cascading failures can cause the abrupt breakdown of a system of
interdependent networks. Using the percolation method developed for single clustered …

We consider the spread of infectious disease through contact networks of Configuration
Model type. We assume that the disease spreads through contacts and infected individuals …