• DocumentCode
    2087826
  • Title

    Research on BA scale-free random graph models

  • Author

    Chen, Xinyi ; Chang, Furong

  • Author_Institution
    China Minorities Information Technology Institute, Northwest University for Nationalities, Lanzhou, Gansu, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1446
  • Lastpage
    1447
  • 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 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 with different number edges of randomly selected that connected to 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
    Barium; Biological system modeling; Complexity theory; Internet; Network topology; Organizing; Topology; BA model; degree distribution; random networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5688801
  • Filename
    5688801