• DocumentCode
    3492765
  • Title

    Self-similarity Research on Scale-free Networks

  • Author

    Tao, Shaohua ; Wang, Shang ; Jiang, Yonghong ; Longquan Zhu

  • Author_Institution
    Xu Chang Univ., Xuchang
  • fYear
    2008
  • fDate
    6-8 April 2008
  • Firstpage
    429
  • Lastpage
    432
  • Abstract
    Self-similarity of scale-free networks and volume-dimension are given based on the concept of fractal. The reason and the course of self-similarity networks formed and these three statistics characters of complex networks are discussed and analyzed in detail in this paper; besides, the concept of self-similarity groups is defined firstly. We propose that different local networks can be covered with different edges of box to reveal the self-similarity of special scale-free networks. Both theoretical analyses and simulation results are the evolution and characters more exactly for many scale-free networks of the real world.
  • Keywords
    graph theory; network theory (graphs); random graph theory; scale-free network; self-similarity network; Analytical models; Complex networks; Computer science; Feathers; Fractals; Graph theory; Humans; IP networks; Network topology; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-1685-1
  • Electronic_ISBN
    978-1-4244-1686-8
  • Type

    conf

  • DOI
    10.1109/ICNSC.2008.4525254
  • Filename
    4525254