Spatial correlations in vote statistics: a diffusive field model for decision-making
Abstract
We study the statistics of turnout rates and results of the French elections since 1992. We find that the distribution of turnout rates across towns is surprisingly stable over time. The spatial correlation of the turnout rates, or of the fraction of winning votes, is found to decay logarithmically with the distance between towns. Based on these empirical observations and on the analogy with a two-dimensional random diffusion equation, we propose that individual decisions can be rationalised in terms of an underlying "cultural" field, that locally biases the decision of the population of a given region, on top of an idiosyncratic, town-dependent field, with short range correlations. Using symmetry considerations and a set of plausible assumptions, we suggest that this cultural field obeys a random diffusion equation.
Cite
@article{arxiv.1003.2807,
title = {Spatial correlations in vote statistics: a diffusive field model for decision-making},
author = {Christian Borghesi and Jean-Philippe Bouchaud},
journal= {arXiv preprint arXiv:1003.2807},
year = {2015}
}
Comments
18 pages, 5 figures; added sociophysics references.