Network science : theory and practice

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.Content: Chapter 1 Origins (pages 1–22): Chapter 2 Graphs (pages 23–69): Chapter 3 Regular Networks (pages 71–96): Chapter 4 Random Networks (pages 97–130): Chapter 5 Small?World Networks (pages 131–175): Chapter 6 Scale?Free Networks (pages 177–215): Chapter 7 Emergence (pages 217–260): Chapter 8 Epidemics (pages 261–298): Chapter 9 Synchrony (pages 299–335): Chapter 10 Influence Networks (pages 337–373): Chapter 11 Vulnerability (pages 375–431): Chapter 12 NetGain (pages 433–467): Chapter 13 Biology (pages 469–491):

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.

Offers 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. The first comprehensive book on the emerging field of network science, this resource is an exhaustive review of terms, ideas, and practices in the various areas of network science