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 …

The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …

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 …

We review the recent rapid progress in the statistical physics of evolving networks. Interest
has focused mainly on the structural properties of complex networks in communications …

Human language is the key evolutionary innovation that makes humans different from other
species. And yet, the fabric of language is tangled and all levels of description (from …

Many languages are spoken on Earth. Despite their diversity, many robust language
universals are known to exist. All languages share syntax, ie, the ability of combining words …

The book requires only rudimentary physics knowledge but ability to program computers
creatively and to keep the mind open to simple and not so simple models, based in …

This Letter describes a method for the quantification of the diversity of non-linear dynamics
in complex networks as a consequence of self-avoiding random walks. The methodology is …

In this paper, we present a study on a deterministic partially self-avoiding walk (tourist walk),
which provides a novel method for texture feature extraction. The method is able to explore …

This paper reviews two problems in the security of complex networks: cascades of overload
failures on nodes and range-based attacks on links. Cascading failures have been reported …