J S Kim

Publications (1)2.08 Total impact

• Source

  Available from: arxiv.org

  Article: A box-covering algorithm for fractal scaling in scale-free networks.

  J S Kim, K-I Goh, B Kahng, D Kim
  [show abstract] [hide abstract]
  ABSTRACT: A random sequential box-covering algorithm recently introduced to measure the fractal dimension in scale-free (SF) networks is investigated. The algorithm contains Monte Carlo sequential steps of choosing the position of the center of each box; thereby, vertices in preassigned boxes can divide subsequent boxes into more than one piece, but divided boxes are counted once. We find that such box-split allowance in the algorithm is a crucial ingredient necessary to obtain the fractal scaling for fractal networks; however, it is inessential for regular lattice and conventional fractal objects embedded in the Euclidean space. Next, the algorithm is viewed from the cluster-growing perspective that boxes are allowed to overlap; thereby, vertices can belong to more than one box. The number of distinct boxes a vertex belongs to is, then, distributed in a heterogeneous manner for SF fractal networks, while it is of Poisson-type for the conventional fractal objects.
  Chaos An Interdisciplinary Journal of Nonlinear Science 07/2007; 17(2):026116. · 2.08 Impact Factor