• DocumentCode
    1847129
  • Title

    Priority Weighted BA Scale-Free Random Graph model

  • Author

    Chen, Xinyi

  • Author_Institution
    China Minorities Inf. Technol. Inst., Northwest Univ. for Nat., Lanzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    156
  • Lastpage
    158
  • Abstract
    Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a priority weighted scale-free power-law distribution. This feature was found to be a consequence of three generic mechanisms: (i) networks expand continuously by the addition of new vertices, (ii) new vertex by priority selected different edges to connected to the different vertices in the system, and (iii) new vertices attach preferentially to sites that are already well connected. A model based on these three ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
  • Keywords
    business data processing; complex networks; graph theory; World Wide Web; complex topology; genetic networks; large networks; priority weighted BA scale-free random graph model; priority weighted scale-free power-law distribution; self-organizing phenomena; stationary scale-free distributions; Barium; Biological system modeling; Complex networks; Internet; Numerical models; Topology; BA model; degree distribution; random networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5917870
  • Filename
    5917870