@article{ref1,
title="Analyzing international events through the lens of statistical physics: the case of Ukraine",
journal="Chaos, solitons and fractals",
year="2022",
author="Zanin, M. and Martínez, J. H.",
volume="32",
number="5",
pages="e051103-e051103",
abstract="During the last few years, statistical physics has received 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 analyze a detailed dataset of violent events that took place in Ukraine since January 2021 and analyze their temporal and spatial correlations through entropy and complexity metrics and functional networks. <br><br>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 &quot;two Ukraines&quot; view. We further draw some lessons and venues for future analyses.<p /> <p>Language: en</p>",
language="en",
issn="0960-0779",
doi="10.1063/5.0091628",
url="http://dx.doi.org/10.1063/5.0091628"
}