Step-by-step random walk network with power-law clique-degree distribution
- Yang, Han-Xin Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
- Wang, Bing-Hong Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Institute of Complex Adaptive System, Shanghai Academy of System Science, Shanghai, China
- Liu, Jian-Guo Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland
- Han, Xiao-Pu Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
- Zhou, Tao Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland
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2008
Published in:
- Chinese Physics Letters. - 2008, vol. 25, no. 7, p. 2718-2720
English
We propose a simple mechanism for generating scale-free networks with degree exponent γ = 3, where the new node is connected to the existing nodes by step-by-step random walk. It is found that the clique-degree distribution based on our model obeys a power-law form, which is in agreement with the recently empirical evidences. In addition, our model displays the small-world effect and the hierarchical structure.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Physique
- Language
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- English
- Classification
- Physics
- License
- License undefined
- Identifiers
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- RERO DOC 10606
- DOI 10.1088/0256-307X/25/7/106
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300813
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