• Preface.- A Brief Introduction to Complex Networks and Their Analysis.- Partitions of Graphs.- Distance in Graphs.- Domination in Graphs.- Spectrum and Entropy for Infinite Directed Graphs.- Application of Infinite Labeled Graphs to Symbolic Dynamical Systems.- Decompositions and Factorizations of Complete Graphs.- Geodetic Sets in Graphs.- Graph Polynomials and Their Applications I: The Tutte Polynomial.- Graph Polynomials and Their Applications II: Interrelations and Interpretations.- Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations.- Subgraphs as a Measure of Similarity.- A Chromatic Metric on Graphs.- Some Applications of Eigenvalues of Graphs.- Minimum Spanning Markovian Trees: Introducing Context-Sensitivity Into the Generation of Spanning Trees.- Link-Based Network Mining.- Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure.- Inference of Protein Function from the Structure of Interaction Networks.- Applications of Perfect Matchings in Chemistry.- Index

From the reviews: "The book Structural Analysis of Complex Networks presents theoretical as well as practice-oriented results for structurally exploring networks, combining graph-theoretic methods with mathematical techniques from other scientific disciplines such as machine learning, statistics and information theory. ... the book is addressed to an interdisciplinary audience, covering topics from artificial intelligence, computer science, computational and systems biology, cognitive science, computational linguistics, discrete mathematics, machine learning, mathematical chemistry and statistics." (Sanzaiana Caraman, IASI Polytechnic Magazine, Vol. 22 (1/4), March-December, 2010)