The Structure of Complex Networks: Theory and Applications

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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 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. The first chapters provide detailed coverage of adjacency and metric and topologicalproperties 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. The second part of this bookis 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.

The Structure of Complex Networks: Theory and Applications Review

Estrada's new book is a breath of fresh air among the many other offerings in the networks field. The mathematics is a step above that found in the other books. I especially liked how his eponymous index can be decomposed into the matrix hyperbolic sine and cosine. The trick is to look at the series expansion in matrix products. Also, there are many (47 by my count) interesting and available examples of networks: brain, social, protein, ecological, and others.

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