Complex Networks: A Networking and Signal Processing Perspective eBook : 9780134787121

Complex Networks: A Networking and Signal Processing Perspective eBook

Manoj,B et al
Published by
Pearson Higher Ed USA
Title type
NZ/Pacific customers only
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About the book: Advances in complex networks and graph signal processing have important implications in fields ranging from communications and social networking to big data and biology. In Complex Networks, three pioneering researchers offer balanced, up-to-date coverage that will be ideal for advanced undergraduates, graduate students, researchers, and industry practitioners alike.

The authors begin by introducing the fundamental concepts underlying graph theory and complex networks. Next, they illuminate current theory and research in random networks, small-world networks, scale-free networks, and both small-world wireless mesh and sensor networks. Readers will find full chapters on spectra and signal processing in complex networks, as well as detailed introductions to graph signal processing approaches for extracting information from structural data, as well as advanced multiscale analysis techniques.

To promote deeper learning and mastery, the book contains 100+ examples, 200+ figures, and 20+ comparison tables. Each chapter includes problems as well as a section describing open research issues in the field. Appendices provide valuable reference information about vectors, matrices, anchor points, classical multiscale analysis, asymptotic behavior of functions, and additional resources for students and researchers in the field.

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Table of contents
  • 1. Introduction
  • 2. Graph Theory Preliminaries
  • 3. Introduction to Complex Networks
  • 4. Random Networks
  • 5. Small-World Networks
  • 6. Scale-Free Networks
  • 7. Small-World Wireless Mesh Networks
  • 8. Small-World Wireless Sensor Networks
  • 9. Spectra of Complex Networks
  • 10. Signal Processing on Complex Networks
  • 11. Graph Signal Processing Approaches
  • 12. Multiscale Analysis of Complex Networks
  • Appendices
  • A. Vectors and Matrices
  • B. Analysis of Locations of Anchor Points
  • C. Classical Multiscale Analysis
  • D. Asymptotic Behavior of Functions
  • E. Journals and Conferences in Complex Networks Area
  • F. Complex Network Datasets and Tools
  • List of Symbols
  • Acronyms
  • Bibliography
Features & benefits
  • Essential knowledge for advanced applications ranging from biology to social networking, the Internet, big data and machine learning
  • Focuses on both communication and signal processing dimensions of complex networks
  • Discusses and presents more than two dozen real-world data sets
  • Includes 200+ exercises and 200+ figures
  • Introduces open research problems in every chapter, as well as pointers to datasets, research tools, research groups, conferences, journals, and other resources
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