Overview

This book deals with the analysis of the structure of complex networks by combining results from graph theory, physics, and pattern recognition.

Structure of the Book

The book is divided into two parts. 11 chapters are dedicated to the development of theoretical tools for the structural analysis of networks, and 7 chapters are illustrating, in a critical way, applications of these tools to real-world scenarios.

Part One: Theoretical Foundations

The first chapters provide detailed coverage of adjacency and metric and topological properties of networks, followed by chapters devoted to the analysis of individual fragments and fragment-based global invariants in complex networks. Chapters that analyse the concepts of communicability, centrality, bipartivity, expansibility, and communities in networks follow.

Part Two: Applications

The second part of this book is devoted to the analysis of genetic, protein residue, protein-protein interaction, intercellular, ecological, and socio-economic networks, including important breakthroughs as well as examples of the misuse of structural concepts.