Wealth distribution on complex networks.
We study the wealth distribution of the Bouchaud-Mézard model on complex networks. It is known from numerical simulations that this distribution depends on the topology of the network; however, no one has succeeded in explaining it. Using "adiabatic" and "independent" assumptions along with the central-limit theorem, we derive equations that determine the probability distribution function. The results are compared to those of simulations for various networks. We find good agreement between our theory and the simulations, except for the case of Watts-Strogatz networks with a low rewiring rate due to the breakdown of independent assumption.
Department of Biomedical Informatics, Gifu University Graduate School of Medicine, Yanagido 1-1, Gifu 501-1194, Japan.
Takashi
T
Ichinomiya