• DocumentCode
    2538644
  • Title

    A Growing Network Model with High Hub Connectivity and Tunable Clustering Coefficient

  • Author

    Hsiao, Ping-Nan ; Tsai, Yihjia ; Huang, Wen-Fa ; Lin, Cheng-Chin

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui
  • Volume
    3
  • fYear
    2007
  • fDate
    12-14 Feb. 2007
  • Firstpage
    2171
  • Lastpage
    2175
  • Abstract
    The paper suggests a model for social network based on a growing network. The model we propose can fit the following two properties: (1) ´scale-free property´ which has power law degree distribution, and (2) ´small-world property´ which has high clustering coefficient. In addition, the model is modified to match the s-metric property. The s-metric property describes the level of high degree nodes connected to other ones, which was proposed in 2005.
  • Keywords
    computer networks; electronic mail; email network; hub connectivity; power law degree distribution; s-metric property; scale-free property; small-world property; tunable clustering coefficient; Computational modeling; Computer science; Computer simulation; Computer viruses; Information technology; Joining processes; Lattices; Paper technology; Power engineering and energy; Social network services; growing network; s-metric; scale-free; small-world; social network model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, The 9th International Conference on
  • Conference_Location
    Gangwon-Do
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-131-8
  • Type

    conf

  • DOI
    10.1109/ICACT.2007.358803
  • Filename
    4195605