Grimmett's concise and masterful introduction to the basic mathematical ideas needed to model such random processes as viral marketing, epidemics, random algorithms, and efficient routing. The selection of topics and the approach taken to them is strongly motivated by modern applications. Each chapter ends with exciting exercises.

Cr�ticas:

'The book under review serves admirably for this 'getting started' purpose. It provides a rigorous introduction to a broad range of topics centered on the percolation-IPS field discussed above ... This book, like a typical Part III course, requires only undergraduate background knowledge but assumes a higher level of general mathematical sophistication. It also requires active engagement by the reader. As I often tell students, 'Mathematics is not a spectator sport - you learn by actually doing the exercises!' For the reader who is willing to engage the material and is not fazed by the fact that some proofs are only outlined or are omitted, this style enables the author to cover a lot of ground in 247 pages.' David Aldous, Bulletin of the American Mathematical Society

'It is written in a condensed style with only the briefest of introductions or motivations, but it is a mine of information for those who are well prepared and know how to use it. It formed the basis for a Probability reading group at the University of Warwick last term and was well received, and parts of it are being used by a colleague for an undergraduate module this term on Probability and Discrete Mathematics.' R.S. MacKay, Contemporary Physics

'This is clearly a successful advanced textbook.' Fernando Q. Gouv�a, MAA Reviews

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