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.

ISBN 0199206651   Pages 784 ISBN13 9780199206650 (What's this?)   Weight (grammes) 1869 Publisher Oxford University Press   Published in Oxford Imprint Oxford University Press   Height (mm) 252 Format Hardback   Width (mm) 195 Publication date 25 Mar 2010   Spine width (mm) 43 DEWEY 003   Academic level Undergraduate DEWEY edition DC22

1		Introduction		1
I		The empirical study of networks		15
2		Technological networks		17
3		Social networks		36
4		Networks of information		63
5		Biological networks		78
II		Fundamentals of network theory		107
6		Mathematics of networks		109
7		Measures and metrics		168
8		The large-scale structure of networks		235
III		Computer algorithms		273
9		Basic concepts of algorithms		275
10		Fundamental network algorithms		308
11		Matrix algorithms and graph partitioning		345
IV		Network models		395
12		Random graphs		397
13		Random graphs with general degree distributions		425
14		Models of network formation		457
15		Other network models		519
V		Processes on networks		537
16		Percolation and network resilience		584
17		Epidemics on networks		627
18		Dynamical systems on networks		676
19		Network search		705
		References		727
		Index		740

Networks accomplishes two key goals: It provides a comprehensive introduction and presents the theoretic backbone of network science. [] The book is balanced in its presentation of theoretical concepts, computational techniques, and algorithms. The level of difficulty increases which each chapter [which] makes the book particularly valuable to physics students who wish to acquire a solid foundation based on their knowledge of basic linear algebra, calculus, and differential equations. Physics Today, 2011 Newman has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occured in many fields, including mathematics, physics, computer science, biology, and the social sciences ... Overall, a valuable resource covering a wide-randing field. Choice Likely to become the standard introductory textbook for the study of networks. Computing Reviews Overall, this is an excellent textbook for the growing field of networks. It is cleverly written and suitable as both an introduction for undergraduate students (particularly Parts 1 to 3) and as a roadmap for graduate students. [] Being highly self-contained, computer scientists and professionals from other fields can also use the book-in fact, the author himself is a physicist. In short, this book is a delight for the inquisitive mind. Computing Reviews 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 connections between work in different subject areas. Cern Courier

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