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Newman Mark (Anatol Rapoport Distinguished University Professor Of Physics Anatol Rapoport Distinguished University Professor Of Physics University Of Michigan Usa)

Newman Mark (Anatol Rapoport Distinguished University Professor Of Physics Anatol Rapoport Distinguished University Professor Of Physics University Of Michigan Usa) - Networks - Hardcover

Newman Mark (Anatol Rapoport Distinguished University Professor Of Physics Anatol Rapoport Distinguished University Professor Of Physics University Of Michigan Usa) - Networks - Hardcover

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Binding: Hardcover
Description: The study of networks including computer networks social networks and biological networks has attracted enormous 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 an unprecedented scale and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields including mathematics physics computer and information sciences biology and the social sciences. This book brings together 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. Topics covered include the measurement of networks; methods for analyzing network data including methods developed in physics statistics and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks including random graph models and generative models; and theories of dynamical processes taking place on networks.
Title: Networks
Author(s): Newman Mark (Anatol Rapoport Distinguished University Professor Of Physics Anatol Rapoport Distinguished University Professor Of Physics University Of Michigan Usa)
Publisher: Oxford University Press
Barcode: 9780198805090
Pages: 800 Pages, 161 Figures/Illustrations
Publication Date: 9/19/2018
Category: Computer Science
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