Complex Webs: Anticipating the Improbable

Complex Webs: Anticipating the Improbable book cover

Complex Webs: Anticipating the Improbable

Author(s): Bruce J. West (Author), Paolo Grigolini (Author)

  • Publisher: Cambridge University Press
  • Publication Date: December 23, 2010
  • Edition: Illustrated
  • Language: English
  • Print length: 386 pages
  • ISBN-10: 0521113660
  • ISBN-13: 9780521113663

Book Description

Complex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, failure of power grids, measures of health and disease, distribution of wealth, and many other familiar phenomena from physiology, bioengineering, biophysics, and informational and social networks, this book makes thought-provoking reading. With explanations of phenomena, diagrams, end-of-chapter problems, and worked examples, it is ideal for advanced undergraduate and graduate students in engineering and the life, social, and physical sciences. It is also a perfect introduction for researchers who are interested in this exciting new way of viewing dynamic networks.

Editorial Reviews

Review

"Complex Webs is mathematically rigorous, data rich, and entertaining...Complex Webs presents a distinctive perspective that makes it stand out. I strongly recommend this remarkable book to those interested in learning the mathematical underpinnings of the science of networks and, more importantly, to those thinking of teaching a course in it." H. Eugene Stanley, PhysicsToday

Book Description

Presents the common principles, algorithms, and tools that govern network behaviour, dynamics, and complexity, connecting theory to numerous real-world examples.

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