Modern Graph Theory

Modern Graph Theory by Béla Bollobás, published by Springer Science & Business Media in July 1998, is a comprehensive exploration of graph theory tailored for serious students of mathematics and computer science. This corrected edition spans 394 pages and is presented in English. The book reflects the current state of graph theory, emphasizing its connections with other areas of pure mathematics while providing an in-depth account of both classical and contemporary topics in the field.
Readers will find extensive descriptive passages designed to engage and inspire interest in graph theory, covering areas such as coloring, matching, and extremal theory, alongside newer developments like Szemerédi’s Regularity Lemma and the Tutte polynomial. The book includes over 600 exercises, ranging from straightforward to challenging, aimed at reinforcing the concepts discussed. This edition serves as a valuable resource for those looking to deepen their understanding of graph theory and its applications in computer science, data science, and discrete mathematics.
Official synopsis Publisher
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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