Network Science
Ted G. Lewis
Sold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
New - Hardcover
Condition: New
Ships within U.S.A.
Quantity: Over 20 available
Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
Condition: New
Quantity: Over 20 available
Add to basketOffers clear definitions and an exhaustive review of terms, ideas, and practices currently in use in the field of network science Provides a broad survey of the historical evolution of network science, from its roots in mathematical graph theory to the current state of research, development, and application to existing real world infrastructures. Num Pages: 524 pages, Illustrations. BIC Classification: UT. Category: (P) Professional & Vocational. Dimension: 166 x 236 x 28. Weight in Grams: 812. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780470331880
A comprehensive look at the emerging science of networks
Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people.
This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing.
The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover:
This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.
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