Random Graphs (Revised)

Bela Bollobas (Author) Bollobas Bela (Author)
& 1 more


This is a new edition of the now classic text. The already extensive treatment given in the first edition has been heavily revised by the author. The addition of two new sections, numerous new results and 150 references means that this represents an up-to-date and comprehensive account of random graph theory. The theory estimates the number of graphs of a given degree that exhibit certain properties. It not only has numerous combinatorial applications, but also serves as a model for the probabilistic treatment of more complicated random structures. This book, written by an acknowledged expert in the field, can be used by mathematicians, computer scientists and electrical engineers, as well as people working in biomathematics. It is self contained, and with numerous exercises in each chapter, is ideal for advanced courses or self study.

Product Details

Cambridge University Press
Publish Date
August 30, 2001
6.05 X 0.92 X 8.93 inches | 1.9 pounds

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About the Author

B�la Bollob�s is a Senior Research Fellow at Trinity College, Cambridge and is the Jabie Hardin Chair of Excellence in Combinatorics at the University of Memphis. He has held visiting positions from Seattle to Singapore, from Brazil to Zurich. This is his eleventh book.
Béla Bollobás has taught at Cambridge University's Department of Pure Maths and Mathematical Statistics for over 25 years and has been a fellow of Trinity College for 30 years. Since 1996, he has held the unique Chair of Excellence in the Department of Mathematical Sciences at the University of Memphis. Bollobás has previously written over 250 research papers in extremal and probabilistic combinatorics, functional analysis, probability theory, isoperimetric inequalities and polynomials of graphs.


"An up-to-date, comprehensive account of the random graph theory, this edition of what's considered a "classic" text contians two new sections, numerous new results, and over 150 references."
"The book is very impressive in the wealth of information it offers. It is bound to become a reference material on random graphs."
Miklos Bona, SIGACT News