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Full Description
The Up-to-Date Guide to Complex Networks for Students, Researchers, and Practitioners
Networks with complex and irregular connectivity patterns appear in biology, chemistry, communications, social networks, transportation systems, power grids, the Internet, and many big data applications. Complex Networks offers a novel engineering perspective on these networks, focusing on their key communications, networking, and signal processing dimensions.
Three leading researchers draw on recent advances to illuminate the design and characterization of complex computer networks and graph signal processing systems. The authors cover both the fundamental concepts underlying graph theory and complex networks, as well as current theory and research. They discuss spectra and signal processing in complex networks, graph signal processing approaches for extracting information from structural data, and advanced techniques for multiscale analysis.
What makes networks complex, and how to successfully characterize them
Graph theory foundations, definitions, and concepts
Full chapters on small-world, scale-free, small-world wireless mesh, and small-world wireless sensor networks
Complex network spectra and graph signal processing concepts and techniques
Multiscale analysis via transforms and wavelets
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
