Network Science: Theory and Applications

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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

• BiologyThis 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.

  Network Science: Theory and Applications Review

  This book offers an introduction to the main concepts and applications in the complex networks field (or Network Science, as suggested by the author). The main aspect that I really liked in this book was its organization, since even working with recent research topics from different sources and areas, Lewis introduces them in a very pleasant way to the reader.
  
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