Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010292991 | T57.85 N49 2010 | Open Access Book | Book | Searching... |
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Summary
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 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.
Author Notes
Mark 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.
Reviews 1
Choice Review
Networks, collections of points (nodes) joined by lines (edges), have recently attracted considerable interest and include computer networks, social networks, and biological networks. Newman (physics, Univ. of Michigan) has written a wonderful book that gives an extensive overview of the broadly interdisciplinary network-related developments that have occurred in many fields, including mathematics, physics, computer science, biology, and the social sciences. This work is divided into five parts. The first introduces the various kinds of networks encountered in the real world; the second introduces the fundamental theoretical ideas that form the basis for understanding networks; the third describes computer algorithms for analyzing and understanding network data; the fourth focuses on mathematical models of networks; and the fifth looks at processes that occur on networks. Two important networks studied are the Internet and the World Wide Web. Although the terms "Web" and "Internet" are often used interchangeably, they are two quite distinct networks. The Internet is a worldwide packet-switched data network of physical data connections between computers and related devices, while the Web is a network of information stored on Web pages. Overall, a valuable resource covering a wide-ranging field. Summing Up: Recommended. Graduate students, researchers/faculty, and professionals. C. Tappert Pace University
