Description: Epidemics and Rumours in Complex Networks Laurent, Draief, Moez M. Product Description 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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Book Title: Epidemics and Rumours in Complex Networks Laurent, Draief, Moez M
Features: EX-LIBRARY
Subject: Networks
Item Length: 8.7in.
Item Height: 0.4in.
Item Width: 5.9in.
Author: Laurent Massouliè, Moez Draief
Publication Name: Epidemics and Rumours in Complex Networks
Format: Trade Paperback
Language: English
Publisher: Cambridge University Press
Publication Year: 2009
Series: London Mathematical Society Lecture Note Ser.
Type: Textbook
Item Weight: 7.4 Oz
Number of Pages: 130 Pages
