- Hardcover: 524 pages
- Publisher: Wiley-Blackwell (3 April 2009)
- Language English
- ISBN-10: 0470331887
- ISBN-13: 978-0470331880
- Product Dimensions: 23.4 x 16 x 2.8 cm
- Amazon Bestsellers Rank: 1,336,915 in Books (See Top 100 in Books)
- See Complete Table of Contents
Network Science: Theory and Applications
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Product Description
Review
"This book provides a comprehensive study of network science, specifically of different network classes and their respective properties. The chapters are easy to understand, each containing an extensive introduction that prepares the reader for what is to follow." (Computing Reviews, 1 November 2010)
“This fascinating book is a tour de force review of the application of network theory to a number of real–life and wildly different areas.” (Computing Reviews, July 2009)
Product Description
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:
- Origins
Graphs
Regular Networks
Random Networks
Small–World Networks
Scale–Free Networks
Emergence
Epidemics
Synchrony
Influence Networks
Vulnerability
Net Gain
Biology
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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