Complex Networks
A Networking and Signal Processing Perspective
Nonfiction, Computers, Networking & Communications
| Author: | B. S. Manoj, Abhishek Chakraborty, Rahul Singh | ISBN: | 9780134787121 |
| Publisher: | Pearson Education | Publication: | January 23, 2018 |
| Imprint: | Prentice Hall | Language: | English |
| Author: | B. S. Manoj, Abhishek Chakraborty, Rahul Singh |
| ISBN: | 9780134787121 |
| Publisher: | Pearson Education |
| Publication: | January 23, 2018 |
| Imprint: | Prentice Hall |
| Language: | English |
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
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
