Effect of clustering on attack vulnerability of interdependent scale-free networks |
| |
| Institution: | 1. Research Laboratory for Nuclear Reactors, Tokyo Institute of Technology, 2-12-1, N1-7, O-okayama, Meguro-ku, Tokyo 152-8550, Japan;2. Department of Mechanical Engineering, Muroran Institute of Technology, 27-1, Mizumoto-cho, Muroran, Hokkaido 050-8585, Japan;1. Dept. of Electrical and Computer Engineering, USAF Academy, CO, USA;2. USAF Academy Center for Unmanned Aircraft Systems Research, Dept. of Electrical and Computer Engineering, USAF Academy, CO, USA;1. CIML Lab, Department of Biophysics, University of Regensbug, 93040 Regensburg, Germany;2. Department of Information Sciences, University of Regensburg, 93040 Regensburg, Germany;3. DETI-IEETA, Universidade de Aveiro, 3810-193 Aveiro, Portugal;1. Chemical Engineering Sciences Division Indian Institute of Chemical Technology Hyderabad 500 007, India;2. Anurag group of Institutions Hyderabad 501301, India;3. Chemical Engineering Department Padmasri Dr BV Raju Institute of Technology Narsapur 502313, India;1. School of Management, Hefei University of Technology, Anhui Hefei 23009, China;2. Key Laboratory of Process Optimization and Intelligent Decision-Making (Ministry of Education), Hefei University of Technology, Anhui Hefei 23009, China;3. School of Electrical Engineering, Tianjin University of Technology, Tianjin 300384, China;4. Business Institute, Anhui University of Finance & Economics, Anhui Bengbu 233041, China;5. Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China;6. Key Laboratory of Computer Vision and System (Ministry of Education), Tianjin University of Technology, Tianjin 300384, China;1. Department of Chemistry, Trent University, 1600 West Bank Dr., Peterborough, ON, Canada K9J 7B8;2. Atomic Energy of Canada Limited, Chalk River Laboratories, 1000 Plant Rd., Chalk River, ON, Canada K0J 1J0 |
| |
| Abstract: | In order to deeply understand the complex interdependent systems, it is of great concern to take clustering coefficient, which is an important feature of many real-world systems, into account. Previous study mainly focused on the impact of clustering on interdependent networks under random attacks, while we extend the study to the case of the more realistic attacking strategy, targeted attack. A system composed of two interdependent scale-free networks with tunable clustering is provided. The effects of coupling strength and coupling preference on attack vulnerability are explored. Numerical simulation results demonstrate that interdependent links between two networks make the entire system much more fragile to attacks. Also, it is found that clustering significantly increases the vulnerability of interdependent scale-free networks. Moreover, for fully coupled network, disassortative coupling is found to be most vulnerable to random attacks, while the random and assortative coupling have little difference. Additionally, enhancing coupling strength can greatly enhance the fragility of interdependent networks against targeted attacks. These results can not only improve the deep understanding of structural complexity of complex systems, but also provide insights into the guidance of designing resilient infrastructures. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
