Propagation Dynamics On Complex Networks

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Propagation Dynamics on Complex Networks

Propagation Dynamics on Complex Networks
Author :
Publisher : John Wiley & Sons
Total Pages : 273
Release :
ISBN-10 : 9781118762813
ISBN-13 : 1118762819
Rating : 4/5 (819 Downloads)

Book Synopsis Propagation Dynamics on Complex Networks by : Xinchu Fu

Download or read book Propagation Dynamics on Complex Networks written by Xinchu Fu and published by John Wiley & Sons. This book was released on 2013-12-17 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the emerging subject of epidemic dynamics on complex networks, including theories, methods, and real-world applications Throughout history epidemic diseases have presented a serious threat to human life, and in recent years the spread of infectious diseases such as dengue, malaria, HIV, and SARS has captured global attention; and in the modern technological age, the proliferation of virus attacks on the Internet highlights the emergent need for knowledge about modeling, analysis, and control in epidemic dynamics on complex networks. For advancement of techniques, it has become clear that more fundamental knowledge will be needed in mathematical and numerical context about how epidemic dynamical networks can be modelled, analyzed, and controlled. This book explores recent progress in these topics and looks at issues relating to various epidemic systems. Propagation Dynamics on Complex Networks covers most key topics in the field, and will provide a valuable resource for graduate students and researchers interested in network science and dynamical systems, and related interdisciplinary fields. Key Features: Includes a brief history of mathematical epidemiology and epidemic modeling on complex networks. Explores how information, opinion, and rumor spread via the Internet and social networks. Presents plausible models for propagation of SARS and avian influenza outbreaks, providing a reality check for otherwise abstract mathematical modeling. Considers various infectivity functions, including constant, piecewise-linear, saturated, and nonlinear cases. Examines information transmission on complex networks, and investigates the difference between information and epidemic spreading.


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