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Increasingly, a huge amount of statistics have been gathered which clearly indicates that income and wealth distributions in various countries or societies follow a robust pattern, close to the Gibbs distribution of energy in an ideal gas in equilibrium. However, it also deviates in the low...
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In this paper, we investigate cascade defense and control in scale free networks via navigation strategy. It is found that with an appropriate parameter a, which is tunable in controlling the effect of degree in the navigation strategy, one can reduce the risk of cascade break down. By checking...
Persistent link: https://www.econbiz.de/10009281648
We derive general properties of the finite-size scaling of probability density functions and show that when the apparent exponent <InlineEquation ID="Equ1"> <EquationSource Format="TEX">$\tilde{\tau}$</EquationSource> </InlineEquation> of a probability density is less than 1, the associated finite-size scaling ansatz has a scaling exponent τ equal to 1, provided that the fraction...</equationsource></inlineequation>
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We investigate the accumulated wealth distribution by adopting evolutionary games taking place on scale-free networks. The system self-organizes to a critical Pareto distribution (1897) of wealth P(m)∼m<Superscript>-(v+1)</Superscript> with 1.6 v 2.0 (which is in agreement with that of U.S. or Japan). Particularly, the...</superscript>
Persistent link: https://www.econbiz.de/10009281932
We make a mapping from Sierpinski fractals to a new class of networks, the incompatibility networks, which are scale-free, small-world, disassortative, and maximal planar graphs. Some relevant characteristics of the networks such as degree distribution, clustering coefficient, average path...
Persistent link: https://www.econbiz.de/10009282045
We study community structure of networks. We have developed a scheme for maximizing the modularity Q [Newman and Girvan, Phys. Rev. E <Emphasis Type="Bold">69, 026113 (2004)] based on mean field methods. Further, we have defined a simple family of random networks with community structure; we understand the behavior of...</emphasis>
Persistent link: https://www.econbiz.de/10009282118