Quantifying the role of supernatural entities and the effect of missing data in Irish sagas

P. MacCarron
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Abstract

For over a decade, complex networks have been applied to mythological texts in order to quantitatively compare them. This has allowed us to identify similarities between texts in different cultures, as well as to quantify the significance of some heroic characters. Analysing a full mythology of a culture requires gathering data from many individual myths which is time consuming and often impractical. In this work, we attempt to bypass this by analysing the network of characters in a dictionary of mythological characters. We show that the top characters identified by different centrality measures are consistent with central figures in the Irish sagas. Although much of Irish mythology has been lost, we demonstrate that these most central characters are highly robust to a large random removal of edges.
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量化爱尔兰传奇中超自然实体的作用和缺失数据的影响
十多年来,复杂网络一直被应用于神话文本的定量比较。这使我们能够识别不同文化文本之间的相似性,并量化某些英雄人物的重要性。分析一个文化的完整神话需要从许多单个神话中收集数据,这不仅耗费时间,而且往往不切实际。在这项工作中,我们试图通过分析神话人物词典中的人物网络来绕过这一问题。我们的研究表明,通过不同的中心度量法识别出的首要人物与爱尔兰传奇中的中心人物是一致的。虽然爱尔兰神话中的很多内容已经失传,但我们证明这些最核心的人物对大量随机删除边缘具有很强的鲁棒性。
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