• DocumentCode
    2650830
  • Title

    Extended HK evolving network model

  • Author

    Li, Yan ; Qian, Xiaolong ; Wang, Dan

  • Author_Institution
    Benxi Steel Group Corp., Benxi, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    4095
  • Lastpage
    4097
  • Abstract
    Based on Holme and Kim (HK) model, We propose an extended HK evolving network model including a triad formation step. Triad formation mechanism is extend among old nodes compared to the HK model, which settle the shortages of HK: there is no link evolution in old nodes and the numbers of links of a new node coming to network is fixed. Theoretical analyses and numerical simulations show that our model captures power-law distributions of node degree, as confirmed in several real-world systems. Moreover, in our model, the clustering coefficient is tunable simply by changing the expected number of triad formation step.
  • Keywords
    complex networks; network theory (graphs); numerical analysis; pattern clustering; Holme and Kim model; clustering coefficient; extended HK evolving network model; numerical simulations; power-law distributions; real-world systems; triad formation mechanism; triad formation step; Analytical models; Barium; Complex networks; Numerical models; Numerical simulation; Production; Steel; Clustering coefficient; Scale-free network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6243111
  • Filename
    6243111