Mathematics of Epidemics on Networks : From Exact to Approximate Models. 1st ed. 2017

種類:

電子ブック

責任表示:

by István Z. Kiss, Joel C. Miller, Péter L. Simon

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

• Kiss, István Z.
• Miller, Joel C.
• Simon, Péter L.
• SpringerLink (Online service)

シリーズ名:

Interdisciplinary Applied Mathematics ; 46

ISBN:

9783319508061 [3319508067]    

注記:

Preface -- Introduction to Networks and Diseases -- Exact Propagation Models: Top Down -- Exact Propagation Models: Bottom-Up -- Mean-Field Approximations for Heterogeneous Networks -- Percolation-Based Approaches for Disease Modelling -- Hierarchies of SIR Models -- Dynamic and Adaptive Networks -- Non-Markovian Epidemics -- PDE Limits for Large Networks -- Disease Spread in Networks with Large-scale structure -- Appendix: Stochastic Simulation -- Index.
This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by: Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book; Presenting different mathematical approaches to formulate exact and solvable models; Identifying the concrete links between approximate models and their rigorous mathematical representation; Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity; Providing a reference source for advanced undergraduate

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