Exchanges in complex networks: income and wealth distributions
We investigate the wealth evolution in a system of agents that exchange wealth through a disordered network in presence of an additive stochastic Gaussian noise. We show that the resulting wealth distribution is shaped by the degree distribution of the underlying network and in particular we verify that scale free networks generate distributions with power-law tails in the high-income region. Numerical simulations of wealth exchanges performed on two different kind of networks show the inner relation between the wealth distribution and the network properties and confirm the agreement with a self-consistent solution. We show that empirical data for the income distribution in Australia are qualitatively well described by our theoretical predictions.
|Date of creation:||Oct 2003|
|Publication status:||Published in in "The Physics of Complex Systems (New Advances and Perspectives)", Eds. F. Mallamace and H. E. Stanley, (IOS Press, Amsterdam 2004) 435.|
|Contact details of provider:|| Web page: http://arxiv.org/|
When requesting a correction, please mention this item's handle: RePEc:arx:papers:cond-mat/0310544. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (arXiv administrators)
If references are entirely missing, you can add them using this form.