Detecting Ottokar II’s 1248–1249 uprising and its instigators in co-witnessing networks

Jeremi K. Ochab, Jan Škvrňák, Michael Škvrňák
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Abstract

Abstract We provide a detailed case study showing how social network analysis allows scholars to detect an event affecting the entire historical network under consideration and identify the responsible actors. We study the middle 13th century in Czech lands, where a rigid political structure of noble families surrounding the monarchs led to the uprising of part of the nobility. Having collected data on approximately 2,400 noblemen from 576 charters, we attempted to uncover social network features pointing to the rebellion and expose the noblemen who joined it. We observed, among other such quantifiable features, assortativity increasing before and resetting to random after the rebellion, a drop in the number of stable connections and subgraph similarity between yearly networks and regional titles (burgraves) rising in centrality above royal court officials in that period. The presented methods can be directly translated to other person-document data of comparable or larger sizes, and we hope it can help detect or disambiguate the timing of similar major events and the roles of people involved in them.
在共同见证网络中发现Ottokar II的1248-1249起义及其煽动者
我们提供了一个详细的案例研究,展示了社会网络分析如何使学者能够发现影响整个历史网络的事件,并确定负责任的行动者。我们研究了13世纪中期捷克的土地,在那里,围绕君主的贵族家庭的僵化政治结构导致了部分贵族的起义。在收集了来自576个包租地的大约2400名贵族的数据后,我们试图揭示指向叛乱的社交网络特征,并揭露加入叛乱的贵族。我们观察到,在其他可量化的特征中,分类性在叛乱前增加,在叛乱后恢复为随机,稳定连接的数量下降,年度网络和地区头衔(burgraves)之间的子图相似性在该时期高于皇家宫廷官员的中心地位。所提出的方法可以直接转换为其他类似或更大规模的个人文档数据,我们希望它可以帮助检测或消除类似重大事件的时间和参与其中的人的角色的歧义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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