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Introduction to networks of networks / Jianxi Gao, Amir Bashan, Louis Shekhtman, Shlomo Havlin.

By: Gao, Jianxi (Ph. D. in automation) [author.].
Contributor(s): Bashan, Amir [author.] | Shekhtman, Louis [author.] | Havlin, Shlomo [author.] | Institute of Physics (Great Britain) [publisher.].
Material type: materialTypeLabelBookSeries: IOP (Series)Release 22: ; IOP ebooks2022 collection: Publisher: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]Description: 1 online resource (various pagings) : illustrations (some color).Content type: text Media type: electronic Carrier type: online resourceISBN: 9780750310468; 9780750311168.Subject(s): System analysis | Neural networks & fuzzy systems | Mathematics and computationAdditional physical formats: Print version:: No titleDDC classification: 003 Online resources: Click here to access online Also available in print.
Contents:
1. Basic concepts of single networks -- 1.1. Introduction -- 1.2. Degree distribution--how networks are structured? -- 1.3. Percolation transition--how a network collapses? -- 1.4. Further network properties -- 1.5. Spatial networks
2. From single networks to networks of networks -- 2.1. Introduction -- 2.2. How networks network? -- 2.3. Key phenomena in network of networks
3. A pair of interdependent networks -- 3.1. Introduction -- 3.2. Different types of dependency between networks -- 3.3. Random failures -- 3.4. Targeted attack on partially interdependent networks
4. Robustness of networks composed of interdependent networks -- 4.1. Introduction -- 4.2. Structures of networks of networks (NON) -- 4.3. Cascading failures in a network of networks -- 4.4. Percolation of network of networks -- 4.5. Comparing feedback and no-feedback conditions -- 4.6. Vulnerability of network of networks for a large number of networks
5. Spatially embedded interdependent networks -- 5.1. Introduction -- 5.2. The extreme vulnerability of semi-spatial interdependent networks -- 5.3. Semi-spatial model of network of networks -- 5.4. Fully-spatial interdependent networks : propagation of cascading failures -- 5.5. Effect of dependency link length, the r-model -- 5.6. Effect of connectivity link length, the [zeta]-model -- 5.7. Localized attacks
6. Further features in networks of networks -- 6.1. Synchronization and dynamics on networks of networks -- 6.2. Different network structures in networks of networks -- 6.3. Overlap and intersimilarity in networks of networks -- 6.4. Different percolation processes in networks of networks -- 6.5. Multimodal transportation -- 6.6. Games on networks of networks -- 6.7. Controllability of a network of networks -- 6.8. Interdependent superconducting networks.
Abstract: As the field of network science has dramatically expanded, researchers have discovered that many networked systems no longer operate in isolation. For example, communications systems often depend on the power-grid to be operational. As our world becomes more and more interconnected and interdependent due to modern technologies, the interactions between networks have taken on increasing importance. In this book, several of the founders and leading researchers in interactions between networks present the key findings in the field, including the possibility of cascading failures between systems, and provide a framework and methods for analyzing 'networks of networks'. This book is an excellent introductory resource for scientists and graduate students in the field of complex networks in various disciplines.
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"Version: 20220901"--Title page verso.

Includes bibliographical references.

1. Basic concepts of single networks -- 1.1. Introduction -- 1.2. Degree distribution--how networks are structured? -- 1.3. Percolation transition--how a network collapses? -- 1.4. Further network properties -- 1.5. Spatial networks

2. From single networks to networks of networks -- 2.1. Introduction -- 2.2. How networks network? -- 2.3. Key phenomena in network of networks

3. A pair of interdependent networks -- 3.1. Introduction -- 3.2. Different types of dependency between networks -- 3.3. Random failures -- 3.4. Targeted attack on partially interdependent networks

4. Robustness of networks composed of interdependent networks -- 4.1. Introduction -- 4.2. Structures of networks of networks (NON) -- 4.3. Cascading failures in a network of networks -- 4.4. Percolation of network of networks -- 4.5. Comparing feedback and no-feedback conditions -- 4.6. Vulnerability of network of networks for a large number of networks

5. Spatially embedded interdependent networks -- 5.1. Introduction -- 5.2. The extreme vulnerability of semi-spatial interdependent networks -- 5.3. Semi-spatial model of network of networks -- 5.4. Fully-spatial interdependent networks : propagation of cascading failures -- 5.5. Effect of dependency link length, the r-model -- 5.6. Effect of connectivity link length, the [zeta]-model -- 5.7. Localized attacks

6. Further features in networks of networks -- 6.1. Synchronization and dynamics on networks of networks -- 6.2. Different network structures in networks of networks -- 6.3. Overlap and intersimilarity in networks of networks -- 6.4. Different percolation processes in networks of networks -- 6.5. Multimodal transportation -- 6.6. Games on networks of networks -- 6.7. Controllability of a network of networks -- 6.8. Interdependent superconducting networks.

As the field of network science has dramatically expanded, researchers have discovered that many networked systems no longer operate in isolation. For example, communications systems often depend on the power-grid to be operational. As our world becomes more and more interconnected and interdependent due to modern technologies, the interactions between networks have taken on increasing importance. In this book, several of the founders and leading researchers in interactions between networks present the key findings in the field, including the possibility of cascading failures between systems, and provide a framework and methods for analyzing 'networks of networks'. This book is an excellent introductory resource for scientists and graduate students in the field of complex networks in various disciplines.

Scientists in the field of complex networks: statistical physics, applied mathematics, graph theory, complex systems, computer science, systems engineering, social science, biology, physiology and environmental science.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

"Professor Jianxi Gao is at Rensselaer Polytechnic Institute working in the area of network science, especially on network resillience, robustness and control. Dr Amir Bashan is a senior lecturer at Bar-Ilan's physics department. His research focuses on applications of statistical physics and network science to biological and technical systems. Dr Louis Shekhtman is a postdoctoral researcher at Northeastern University researching network science and complex systems, specifically in terms of infrastructure, financial, and social networks. Professor Shlomo Havlin is at Bar-Ilan University in the Department of Physics. He previously won the Israel Prize in physics and has been cited worldwide for his research accomplishments in statistical physics, network science, and networks of networks.

Title from PDF title page (viewed on October 5, 2022).

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