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
Link To Document :
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