Networks: An Introduction (Hardback)
$74.00 - Save $44.25 37% off - RRP $118.25 Free shipping worldwide (to United States and
all these other countries) Usually dispatched within 48 hours | |Short Description for Networks This book brings together advances in mathematics, physics, computer science, biology and social network analysis to present a comprehensive picture of the scientific study of networks. The book includes discussion of computer networks, social networks, biological networks, and others, and an introduction to the mathematics of network theory.
Full description- Publisher: Oxford University Press
- Published: 20 May 2010
- Format: Hardback 784 pages
- See: Full bibliographic data
- Categories: Cybernetics & Systems Theory | Science: General Issues | Physics
- ISBN 13: 9780199206650 ISBN 10: 0199206651
- Sales rank: 83,936
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Full description for Networks
The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.
