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Mathematics of Epidemics on Networks - From Exact to Approximate Models (Hardcover, 1st ed. 2017)
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Mathematics of Epidemics on Networks - From Exact to Approximate Models (Hardcover, 1st ed. 2017)
Series: Interdisciplinary Applied Mathematics, 46
Expected to ship within 9 - 15 working days
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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
students, as well as doctoral students, postdoctoral researchers
and academic experts who are engaged in modeling stochastic
processes on networks; Providing software that can solve
differential equation models or directly simulate epidemics on
networks. Replete with numerous diagrams, examples, instructive
exercises, and online access to simulation algorithms and readily
usable code, this book will appeal to a wide spectrum of readers
from different backgrounds and academic levels. Appropriate for
students with or without a strong background in mathematics, this
textbook can form the basis of an advanced undergraduate or
graduate course in both mathematics and other departments alike.
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