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:
Examines information transmission on complex networks, and investigates the difference between information and epidemic spreading.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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