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Modern graph theory

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TLDR
This book presents an 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.
Abstract
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.

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Journal ArticleDOI

Perfect Matchings in $O(n\log n)$ Time in Regular Bipartite Graphs

TL;DR: A randomized algorithm that finds a perfect matching in a $d-regular bipartite graph and runs in $O(n\log n)$ time (both in expectation and with high probability).
Journal ArticleDOI

Eigenvalues and homology of flag complexes and vector representations of graphs

TL;DR: The relation between the first eigenvalues of successive higher Laplacians of a simplicial simplicial complex of a graph G = (V, E) is studied in this article.
MonographDOI

Introduction to the Network Approximation Method for Materials Modeling

TL;DR: In this article, the authors provide a rigorous, yet accessible introduction to the basic concepts of the network approximation method and provide a unified approach for solving a wide variety of applied problems.
Journal ArticleDOI

Matchings and independent sets of a fixed size in regular graphs

TL;DR: An entropy based method is used to study two graph maximization problems and upper bound the number of matchings of fixed size in a d-regular graph on N vertices, giving asymptotic evidence for a conjecture of S. Friedland et al.
Book ChapterDOI

Vulnerability of Interdependent Networks and Networks of Networks

TL;DR: If dependencies exist between networks, these systems are highly vulnerable to random failure or attack, which leads to cascading failures which amplify the original damage and can rapidly lead to complete system collapse.