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OverviewThis book brings together for the first time the most important breakthroughs in networks analysis from mathematics, physics, computer and information sciences, biology, and the social sciences, presenting them in a coherent fashion, and 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. Full Product DetailsAuthor: Mark Newman (Department of Physics, University of Michigan)Publisher: Oxford University Press Imprint: Oxford University Press Dimensions: Width: 20.00cm , Height: 3.90cm , Length: 25.40cm Weight: 1.871kg ISBN: 9780199206650ISBN 10: 0199206651 Pages: 784 Publication Date: 25 March 2010 Audience: College/higher education , Undergraduate Format: Hardback Publisher's Status: Out of Print Availability: Awaiting stock  Table of Contents1: Introduction 2: Technological Networks 3: Social Networks 4: Information Networks 5: Biological Networks 6: Mathematics of Networks 7: Measures and Metrics 8: The Large-scale Structure of Networks 9: Basic Concepts of Algorithms 10: Fundamental Network Algorithms 11: Matrix Algorithms and Graph Partitioning 12: Random Graphs 13: Generalized Random Graphs 14: Models of Network Formation 15: Other Network Models 16: Percolation and Network Resilience 17: Epidemics on Networks 18: Dynamical Systems on Networks 19: Network Search References IndexReviewsOverall, 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 Author InformationMark Newman received a D.Phil. in physics from the University of Oxford in 1991 and conducted postdoctoral research at Cornell University before joining the staff of the Santa Fe Institute, a think-tank in New Mexico devoted to the study of complex systems. In 2002 he left Santa Fe for the University of Michigan, where he is currently Paul Dirac Collegiate Professor of Physics and a professor in the university's Center for the Study of Complex Systems. Tab Content 6Author Website:Countries AvailableAll regions |
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