Complex networks have become the main paradigm for modelling the dynamics of
interacting systems. However, networks are intrinsically limited to describing pairwise …

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 …

Complex networks have been studied intensively for a decade, but research still focuses on
the limited case of a single, non-interacting network,,,,,,,,,,,,,. Modern systems are coupled …

An integrative overview of network approaches to neuroscience explores the origins of brain
complexity and the link between brain structure and function. Over the last decade, the study …

Today's strongly connected, global networks have produced highly interdependent systems
that we do not understand and cannot control well. These systems are vulnerable to failure …

Over the past two decades percolation theory has been used to explain and model a wide
variety of phenomena that are of industrial and scientific importance. Examples include …

Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

Carbon (C) is a crucial material for many branches of modern technology. A growing number
of demanding applications in electronics and telecommunications rely on the unique …

Synchronization of an ensemble of oscillators is an emergent phenomenon present in
several complex systems, ranging from social and physical to biological and technological …

This book deals with the analysis of the structure of complex networks by combining results
from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 …