I Fundamentals -- I.1 Definitions -- I.2 Paths, Cycles, and Trees -- I.3 Hamilton Cycles and Euler Circuits -- I.4 Planar Graphs -- I.5 An Application of Euler Trails to Algebra -- I.6 Exercises -- II Electrical Networks -- II.1 Graphs and Electrical Networks -- II.2 Squaring the Square -- II.3 Vector Spaces and Matrices Associated with Graphs -- II.4 Exercises -- II.5 Notes -- III Flows, Connectivity and Matching -- III.1 Flows in Directed Graphs -- III.2 Connectivity and Menger’s Theorem -- III.3 Matching -- III.4 Tutte’s 1-Factor Theorem -- III.5 Stable Matchings -- III.6 Exercises -- III.7 Notes -- IV Extremal Problems -- IV.1 Paths and Cycles -- IV.2 Complete Subgraphs -- IV.3 Hamilton Paths and Cycles -- W.4 The Structure of Graphs -- IV 5 Szemerédi’s Regularity Lemma -- IV 6 Simple Applications of Szemerédi’s Lemma -- IV.7 Exercises -- IV.8 Notes -- V Colouring -- V.1 Vertex Colouring -- V.2 Edge Colouring -- V.3 Graphs on Surfaces -- V.4 List Colouring -- V.5 Perfect Graphs -- V.6 Exercises -- V.7 Notes -- VI Ramsey Theory -- VI.1 The Fundamental Ramsey Theorems -- VI.2 Canonical Ramsey Theorems -- VI.3 Ramsey Theory For Graphs -- VI.4 Ramsey Theory for Integers -- VI.5 Subsequences -- VI.6 Exercises -- VI.7 Notes -- VII Random Graphs -- VII.1 The Basic Models-The Use of the Expectation -- VII.2 Simple Properties of Almost All Graphs -- VII.3 Almost Determined Variables-The Use of the Variance -- VII.4 Hamilton Cycles-The Use of Graph Theoretic Tools -- VII.5 The Phase Transition -- VII.6 Exercises -- VII.7 Notes -- VIII Graphs, Groups and Matrices -- VIII.1 Cayley and Schreier Diagrams -- VIII.2 The Adjacency Matrix and the Laplacian -- VIII.3 Strongly Regular Graphs -- VIII.4 Enumeration and Pólya’s Theorem -- VIII.5 Exercises -- IX Random Walks on Graphs -- IX.1 Electrical Networks Revisited -- IX.2 Electrical Networks and Random Walks -- IX.3 Hitting Times and Commute Times -- IX.4 Conductance and Rapid Mixing -- IX.5 Exercises -- IX.6 Notes -- X The Tutte Polynomial -- X.1 Basic Properties of the Tutte Polynomial -- X.2 The Universal Form of the Tutte Polynomial -- X.3 The Tutte Polynomial in Statistical Mechanics -- X.4 Special Values of the Tutte Polynomial -- X.5 A Spanning Tree Expansion of the Tutte Polynomial -- X.6 Polynomials of Knots and Links -- X.7 Exercises -- X.8 Notes -- Symbol Index -- Name Index.

The time has now come when graph theory should be part of the education of every serious student of mathematics and computer science, both for its own sake and to enhance the appreciation of mathematics as a whole. This book is an in-depth account of graph theory, written with such a student in mind; it reflects the current state of the subject and emphasizes connections with other branches of pure mathematics. The volume grew out of the author's earlier book, Graph Theory -- An Introductory Course, but its length is well over twice that of its predecessor, allowing it to reveal many exciting new developments in the subject. Recognizing that graph theory is one of several courses competing for the attention of a student, the book contains extensive descriptive passages designed to convey the flavor of the subject and to arouse interest. In addition to a modern treatment of the classical areas of graph theory such as coloring, matching, extremal theory, and algebraic graph theory, the book presents a detailed account of newer topics, including Szemer'edi's Regularity Lemma and its use, Shelah's extension of the Hales-Jewett Theorem, the precise nature of the phase transition in a random graph process, the connection between electrical networks and random walks on graphs, and the Tutte polynomial and its cousins in knot theory. In no other branch of mathematics is it as vital to tackle and solve challenging exercises in order to master the subject. To this end, the book contains an unusually large number of well thought-out exercises: over 600 in total. Although some are straightforward, most of them are substantial, and others will stretch even the most able reader.