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