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arXiv 2303.01065physics.soc-ph
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议会选举中选民不确定性与选民转变的熵空间自相关

Entropic Spatial Auto-correlation of Voter Uncertainty and Voter Transitions in Parliamentary Elections

Omar El Deeb

摘要:

本文研究了一种新的跨地区选民不确定性的空间自相关模型。我们使用莫兰$I$指数来衡量香农,相对香农,Tsallis和相对Tsallis熵的区域选举结果的地理相邻,邻近和宗派相邻的自相关性。从黎巴嫩议会选举的数据,我们发现强大的地理和重力相邻的相关性。更重要的是,在$2018$和$2022$两次选举中,教派毗邻关系明显密切,信任度非常高。这一结果表明宗派因素在黎巴嫩政治中占主导地位。我们还介绍了最大化的一般熵估计,使我们能够确定连续选举之间的选民的马尔可夫转移矩阵的方法。

英文摘要:

This paper studies a novel spatial auto-correlation model of voter uncertainty across districts. We use the Moran $I$ index to measure the auto-correlation of Shannon, relative Shannon, Tsallis and relative Tsallis entropies of regional electoral outcomes with respect to geographic adjacency, proximity and sectarian adjacency. Using data from the Lebanese parliamentary elections, we find strong geographic and gravitational adjacency correlations. More importantly, there is a notably strong correlation in sectarian adjacency in both $2018$ and $2022$ elections, with a very high level of confidence. This result asserts the dominance of the sectarian factor in Lebanese politics. We also introduce the method of maximized general entropy estimation that allows us to determine the Markov transition matrix of voters between consecutive elections.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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