Fortunato Santo, Castellano Claudio
Complex Networks Lagrange Laboratory (CNLL), ISI Foundation, Torino, Italy.
Phys Rev Lett. 2007 Sep 28;99(13):138701. doi: 10.1103/PhysRevLett.99.138701. Epub 2007 Sep 25.
A most debated topic of the last years is whether simple statistical physics models can explain collective features of social dynamics. A necessary step in this line of endeavor is to find regularities in data referring to large-scale social phenomena, such as scaling and universality. We show that, in proportional elections, the distribution of the number of votes received by candidates is a universal scaling function, identical in different countries and years. This finding reveals the existence in the voting process of a general microscopic dynamics that does not depend on the historical, political, and/or economical context where voters operate. A simple dynamical model for the behavior of voters, similar to a branching process, reproduces the universal distribution.
过去几年中一个备受争议的话题是,简单的统计物理模型是否能够解释社会动态的集体特征。在这一研究方向上,一个必要步骤是在涉及大规模社会现象的数据中寻找规律,比如标度律和普适性。我们表明,在比例选举中,候选人获得的票数分布是一个普适标度函数,在不同国家和年份都是相同的。这一发现揭示了投票过程中存在一种不依赖于选民所处历史、政治和/或经济背景的一般微观动力学。一个类似于分支过程的简单选民行为动力学模型能够重现这种普适分布。