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首页> 外文期刊>The European physical journal, B. Condensed matter physics >Spatial correlations in vote statistics: A diffusive field model for decision-making
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Spatial correlations in vote statistics: A diffusive field model for decision-making

机译:投票统计中的空间相关性:决策的扩散域模型

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摘要

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.
机译:我们研究了自1992年以来投票率和法国大选结果的统计数据。我们发现,随时间推移,城镇中投票率的分布出奇地稳定。发现投票率或获胜选票分数的空间相关性随城镇之间的距离呈对数衰减。基于这些经验观察结果,并基于二维随机扩散方程的类推,我们建议可以根据潜在的“文化”领域对单个决策进行合理化,该领域会局部偏向给定区域人口的决策。与城镇相关的特有字段的顶部,具有短程相关性。使用对称性考虑和一组合理的假设,我们建议该文化领域服从随机扩散方程。

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