• DocumentCode
    3045035
  • Title

    Distribution of Node Characteristics in Transfractal Network Systems and Additive Scale Invariance

  • Author

    Ying Tan ; Hong Luo ; Shou-Li Peng

  • Author_Institution
    Stat. & Math. Coll., Yunnan Univ. of Finance & Econ., Kunming, China
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    2979
  • Lastpage
    2984
  • Abstract
    For studies of distribution of node characteristics, this paper supplies a random descriptive frame including assertive matrices and the bivariate Gaussian distribution of dyad variables. Based on the frame, we firstly find from numerical experiment that there exists the novel additive scale invariance in total (D,H)-phase diagrams of the Tran fractal network(DGM model), and compute the transfinite dimensionalities of semi major, semi minor axis and area in the region of (D,H)-phase diagram with an ellipse boundary. Additionally the compressive g-effect and the stationary T-effect of the total phase diagram in the Park-Barabasi´s network model systems are obtained.
  • Keywords
    Gaussian distribution; complex networks; matrix algebra; network theory (graphs); DGM model; Park-Barabasi network model systems; Tran fractal network; additive scale invariance; assertive matrices; bivariate Gaussian distribution; compressive g-effect; dyad variables; ellipse boundary; node characteristics distribution; phase diagrams; random descriptive frame; stationary T-effect; transfractal network systems; Additives; Correlation; Educational institutions; Electronic mail; Fractals; Random variables; Standards; (D; H)-phase diagrams; additive scale invariance; assertive matrix; transfractal networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.508
  • Filename
    6722261