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Epidemics and Rumours in Complex Networks (London Mathematical Society Lecture Note Series, Series Number 369) - Softcover
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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Book Description
This concise introduction to basic models, analytical tools and mathematical and algorithmic results is an ideal accompaniment for graduate courses. It is also for researchers (statistical physicists, biologists, social scientists) who need an efficient guide to modern approaches to epidemic modelling on networks.
About the Author
Moez Draief is Assistant Professor in the Department of Electrical and Electronic Engineering at Imperial College, London.
Laurent Massoulié is Senior Researcher at Thomson Corporate Research in Paris. He has been the recipient of several best paper awards including ACM CoNEXT 2007.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2010
- ISBN 10 0521734436
- ISBN 13 9780521734431
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages130
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Paperback. Condition: new. Paperback. 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. This concise introduction to basic models, analytical tools and mathematical and algorithmic results is an ideal accompaniment for graduate courses. It is also for researchers (statistical physicists, biologists, social scientists) who need an efficient guide to modern approaches to epidemic modelling on networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521734431
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