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Networks : an introduction

Author: Mark E J Newman
Publisher: Oxford [u.a.] : Oxford Univ. Press, 2010.
Edition/Format:   Computer file : English
Summary:
"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  Read more...
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Details

Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mark E J Newman
ISBN: 9780199206650 0199206651
OCLC Number: 964511577
Notes: Keine E-ISBN vorhanden.
Description: 1 Online-Ressource (789 S.) : graph. Darst.
Responsibility: M. E. J. Newman.

Abstract:

"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"--. - Provided by publisher.

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