Epidemics and Rumours in Complex Networks: 369 (London Mathematical Society Lecture Note Series, Series Number 369)

Epidemics and Rumours in Complex Networks: 369 (London Mathematical Society Lecture Note Series, Series Number 369)

by Moez Draief (Author)

Synopsis

Information propagation through peer-to-peer systems, online social systems, wireless mobile ad hoc networks and other modern structures can be modelled as an epidemic on a network of contacts. Understanding how epidemic processes interact with network topology allows us to predict ultimate course, understand phase transitions and develop strategies to control and optimise dissemination. This book is a concise introduction for applied mathematicians and computer scientists to basic models, analytical tools and mathematical and algorithmic results. Mathematical tools introduced include coupling methods, Poisson approximation (the Stein-Chen method), concentration inequalities (Chernoff bounds and Azuma-Hoeffding inequality) and branching processes. The authors examine the small-world phenomenon, preferential attachment, as well as classical epidemics. Each chapter ends with pointers to the wider literature. An ideal accompaniment for graduate courses, this book is also for researchers (statistical physicists, biologists, social scientists) who need an efficient guide to modern approaches to epidemic modelling on networks.

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More Information

Format: Illustrated
Pages: 130
Edition: Illustrated
Publisher: Cambridge University Press
Published: 03 Dec 2009

ISBN 10: 0521734436
ISBN 13: 9780521734431

Media Reviews
'this is a nice introduction, at the level of a graduate course, to the propagation of biological epidemics and the spread of rumours in networks, aimed at students in computer science and applied probability.' Zentralblatt MATH
Author Bio
Moez Draief is Assistant Professor in the Department of Electrical and Electronic Engineering at Imperial College, London. Laurent Massouli is Senior Researcher at Thomson Corporate Research in Paris. He has been the recipient of several best paper awards including ACM CoNEXT 2007.