论文标题
通过统计物理学角度分析国际活动：乌克兰的案例
Analysing international events through the lens of statistical physics: the case of Ukraine
论文作者
论文摘要
在过去的几年中，统计物理学已受到越来越多的关注，作为分析实际复杂系统的框架。然而，在国际政治事件的情况下，这一点尚不清楚，部分原因是确保对它们的相关定量数据的复杂性。在这里，我们分析了自2021年1月以来在乌克兰发生的暴力事件的详细数据集，并通过熵和复杂性指标以及功能网络分析其时间和空间相关性。结果描述了一个复杂的场景，事件以非随机方式出现，但东部最多地区与该国的其余部分脱节 - 这是反对广泛的“两个乌克兰”观点的。我们进一步绘制了一些课程和场地以进行未来的分析。
During the last years, statistical physics has received an increasing attention as a framework for the analysis of real complex systems; yet, this is less clear in the case of international political events, partly due to the complexity in securing relevant quantitative data on them. Here we analyse a detailed data set of violent events that took place in Ukraine since January 2021, and analyse their temporal and spatial correlations through entropy and complexity metrics, and functional networks. Results depict a complex scenario, with events appearing in a non-random fashion, but with eastern-most regions functionally disconnected from the remainder of the country -- something opposing the widespread "two Ukraines" view. We further draw some lessons and venues for future analyses.
