English

Power-law distribution functions derived from maximum entropy and a symmetry relationship

Physics and Society 2011-12-30 v1 Statistical Mechanics Social and Information Networks Data Analysis, Statistics and Probability

Abstract

Power-law distributions are common, particularly in social physics. Here, we explore whether power-laws might arise as a consequence of a general variational principle for stochastic processes. We describe communities of 'social particles', where the cost of adding a particle to the community is shared equally between the particle joining the cluster and the particles that are already members of the cluster. Power-law probability distributions of community sizes arise as a natural consequence of the maximization of entropy, subject to this 'equal cost sharing' rule. We also explore a generalization in which there is unequal sharing of the costs of joining a community. Distributions change smoothly from exponential to power-law as a function of a sharing-inequality quantity. This work gives an interpretation of power-law distributions in terms of shared costs.

Keywords

Cite

@article{arxiv.1112.5906,
  title  = {Power-law distribution functions derived from maximum entropy and a symmetry relationship},
  author = {G. J. Peterson and K. A. Dill},
  journal= {arXiv preprint arXiv:1112.5906},
  year   = {2011}
}

Comments

5 pages, 1 figure