• DocumentCode
    2903845
  • Title

    Scale-free, small-world model for network communication

  • Author

    Yihjia Tsai ; Ping-Nan Hsiao ; Ching-Chang Lin ; Wen-Fa Huang

  • Author_Institution
    Tanikang University
  • Volume
    2
  • fYear
    2004
  • fDate
    9-11 Feb. 2004
  • Firstpage
    903
  • Lastpage
    908
  • Abstract
    Recently, the small world network model has been popular to describe human social relations and networks formed by biological entities such as neurons. The network model achieves small diameter with relatively few links as measured by the ratio of clustering coefficient and the number of links. It is quite natural to consider email communication as similar to social network pattern. Quite surprisingly we find from our empirical study that email network follows a different type of network model that falls into the category of scale-free network. We propose new network models to describe such communication topology.
  • Keywords
    Biological system modeling; Biology; Computer science; Electronic mail; Humans; Joining processes; Lattices; Network topology; Neurons; Probability distribution; clustering coefficient; email network; scale free; simulation; small world;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2004. The 6th International Conference on
  • Conference_Location
    Phoenix Park, Korea
  • Print_ISBN
    89-5519-119-7
  • Type

    conf

  • DOI
    10.1109/ICACT.2004.1293000
  • Filename
    1293000