• DocumentCode
    2616610
  • Title

    A new metric for assortative and disassortative mixing in networks

  • Author

    Zhou, Huijie ; Mao, Xiaoyan ; Shi, Dinghua

  • Author_Institution
    Coll. of Sci. & Technol., Ningbo Univ., Ningbo, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    1005
  • Lastpage
    1008
  • Abstract
    The assortative/disassortative mixing is an important index to study the degree correlation among nodes in networks. This paper discussed Newman correlation coefficient r(g) for the assortative/disassortative mixing and pointed out that the metric was unstable about network´s size and dense degree. Besides, a simple and effective assortative/disassortative metric was put forward for networks, and it was named as mixing coefficient 1(g). The result showed that this metric had more advantages than r(g) or improved R(g).
  • Keywords
    network theory (graphs); Newman correlation coefficient; assortative mixing; disassortative mixing; mixing coefficient; network dense degree; network size; node degree correlation; Barium; Correlation; Internet; Measurement; Organizations; World Wide Web; assortative/disassortative metric; degree correlation; dense degree; mixing coefficient; network´s size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5974470
  • Filename
    5974470