Random Graphs

This updated edition of Random Graphs offers an in-depth exploration of random graph theory, suitable for various scientific disciplines.

In the second edition of Random Graphs, readers will find a thoroughly revised and expanded treatment of this classic text. With the inclusion of two new sections, numerous fresh results, and over 150 new references, this edition offers a comprehensive exploration of random graph theory. Originally founded by Erdös and Rényi in the late fifties, the theory seeks to estimate the number of graphs of a given degree that demonstrate specific properties. This field not only has a wealth of combinatorial applications but also provides a framework for understanding more complex random structures probabilistically.

The author, an acknowledged expert in the realm of random graphs, ensures that Random Graphs is accessible to a diverse audience, including mathematicians, computer scientists, electrical engineers, and those engaged in biomathematics. The book is designed to be self-contained, making it suitable for advanced courses as well as for self-study. Each chapter is equipped with numerous exercises, fostering a deeper understanding of the material.

This revised edition of Random Graphs stands as a significant contribution to the literature, reflecting the ongoing developments in the field. Its comprehensive nature and extensive references make it an invaluable resource for anyone looking to delve into the intricacies of random graph theory, whether for academic purposes or personal interest.