Complex Networks from Colored Gaussian Noise
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概要
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On the basis of recent work [L. Lacasa, B. Luque, F. Ballesteros, J. Luque, and J. Carlos Nuño: Proc. Natl. Acad. Sci. U.S.A. 105 (2008) 4972], we extend the study to construct complex networks from colored Gaussian noise (CGN) using the visibility algorithm. It is found that as the correlation time of CGN increases, the corresponding complex network will change from an almost exponential network to an almost scale-free one. The associated network for CGN is always highly clustered, and it has a hierarchical structure and an emergent community structure. The network for large correlation time shows a small-world effect in addition to being almost scale-free.
- 2011-07-15
著者
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Yang Lei
Institute Of Artificial Intelligence And Robotics Xi'an Jiaotong University
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Ai Bao-Quan
Laboratory of Quantum Information Technology, ICMP and SPTE, South China Normal University, Guangzhou 510006, P. R. China
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Ai Bao-quan
Laboratory of Quantum Information Technology, Institute of Condensed Matter Physics, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China
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Shao Zhi-Gang
Laboratory of Quantum Information Technology, Institute of Condensed Matter Physics, School of Physics and Telecommunication Engineering, South China Normal University, 510006 Guangzhou, China
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Shao Zhi-Gang
Laboratory of Quantum Information Technology, Institute of Condensed Matter Physics, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China
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Ao Bin
Institute of Modern Physics, Chinese Academy of Sciences, and Department of Physics, Lanzhou University, Lanzhou 730000, China
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Yang Lei
Institute of Modern Physics, Chinese Academy of Sciences, and Department of Physics, Lanzhou University, Lanzhou 730000, China
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