Journal article

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
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/300813
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