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Propagation Dynamics on Complex Networks

Models, Methods and Stability Analysis

Wiley, J,
E-Book ( PDF mit Adobe DRM )
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Explores the emerging subject of epidemic dynamics on complexnetworks, including theories, methods, and real-worldapplications
Throughout history epidemic diseases have presented a seriousthreat to human life, and in recent years the spread of infectiousdiseases such as dengue, malaria, HIV, and SARS has captured globalattention; and in the modern technological age, the proliferationof virus attacks on the Internet highlights the emergent need forknowledge about modeling, analysis, and control in epidemicdynamics on complex networks.
For advancement of techniques, it has become clear that morefundamental knowledge will be needed in mathematical and numericalcontext about how epidemic dynamical networks can be modelled,analyzed, and controlled. This book explores recent progress inthese topics and looks at issues relating to various epidemicsystems.
Propagation Dynamics on Complex Networks covers most keytopics in the field, and will provide a valuable resource forgraduate students and researchers interested in network science anddynamical systems, and related interdisciplinary fields.
Key Features:
* Includes a brief history of mathematical epidemiology andepidemic modeling on complex networks.
* Explores how information, opinion, and rumor spread via theInternet and social networks.
* Presents plausible models for propagation of SARS and avianinfluenza outbreaks, providing a reality check for otherwiseabstract mathematical modeling.
* Considers various infectivity functions, including constant,piecewise-linear, saturated, and nonlinear cases.
Examines information transmission on complex networks, andinvestigates the difference between information and epidemicspreading.


Titel: Propagation Dynamics on Complex Networks
Autoren/Herausgeber: Xinchu Fu, Michael Small, Guanrong Chen
Ausgabe: 1. Auflage

ISBN/EAN: 9781118762806

Seitenzahl: 328
Produktform: E-Book
Sprache: Englisch

Xinchu Fu, Department of Mathematics, Shanghai University, China
Michael Small, School of Mathematics and Statistics,The University of Western Australia, Australia
Guanrong Chen, Department of Electronic Engineering,City University of Hong Kong, China

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