• DocumentCode
    3288625
  • Title

    Self-similarity Formed of Complex Networks

  • Author

    Tao, Shaohua ; Zhang, Yong

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Xu Chang Univ., Xuchang, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    The self-similarity of complex networks has broad practical backgrounds. It is similar to the phenomena of social relationships: ldquothings of one kind come together, birds of a feather flock togetherrdquo. 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 edge of boxes to reveal the self-similarity of complex networks. Both theoretical analyses and simulation results are the evolution and characters more exactly for many complex networks of the real world.
  • Keywords
    complex networks; graph theory; statistical analysis; complex self-similarity network; social relationship phenomena; statistics; Analytical models; Birds; Circuits; Cities and towns; Complex networks; Computer science; Feathers; Graph theory; IP networks; Statistical analysis; Complex networks; Free-scale; Self-similarity; Self-similarity groups; Volume dimension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3614-9
  • Type

    conf

  • DOI
    10.1109/PACCS.2009.120
  • Filename
    5232310