Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

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 …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

From the Internet to networks of friendship, disease transmission, and even terrorism, the
concept--and the reality--of networks has come to pervade modern society. But what exactly …

Cloud computing is an emerging technology paradigm that migrates current technological
and computing concepts into utility-like solutions similar to electricity and water systems …

Analytic solution for the average path length in a large class of uncorrelated random
networks with hidden variables is found. We apply the approach to classical random graphs …

The representation of complex systems as networks is inappropriate for the study of certain
problems. We show several examples of social, biological, ecological and technological …

This book is the culmination of three years of research effort on a multidisciplinary project in
which physicists, mathematicians, computer scientists and social scientists worked together …

A cycle is the simplest structure that brings redundant paths in network connectivity and
feedback effects in network dynamics. An in-depth understanding of which cycles are …