基辅bylyny循环的网络分析——东斯拉夫史诗叙事

IF 0.7 4区数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Advances in Complex Systems Pub Date : 2022-03-19 DOI:10.1142/S0219525922400070

P. Sarkanych, N. Fedorak, Y. Holovatch, Pádraig MacCarron, Joseph Yose, R. Kenna

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引用次数: 3

摘要

方法可以支持人文文学的假设——比如弗拉基米尔王子的立场——并产生新的假设。我们展示了基辅的抒情循环如何与其他国家的叙事网络非常吻合——尤其是英雄主义的。我们期望，除了提供新的叙事学见解外，这项研究还将帮助未来的学者和感兴趣的公众在乌克兰的史诗故事中导航，并确定其英雄。

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Network analysis of the Kyiv bylyny cycle - east Slavic epic narratives

method allows to bolster hypotheses from humanities literature — such as the position of Prince Volodymyr — and to generate new ones We show how the Kyiv cycle of bylyny ﬁts very well with narrative networks from other nations — especially heroic ones. We anticipate that, besides delivering new narratological insights, this study will aid future scholars and interested public to navigate their way through Ukraine’s epic story and identify its heroes.

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来源期刊

Advances in Complex Systems 综合性期刊-数学跨学科应用

CiteScore

1.40

自引率

0.00%

发文量

121

审稿时长

6-12 weeks

期刊介绍： Advances in Complex Systems aims to provide a unique medium of communication for multidisciplinary approaches, either empirical or theoretical, to the study of complex systems. The latter are seen as systems comprised of multiple interacting components, or agents. Nonlinear feedback processes, stochastic influences, specific conditions for the supply of energy, matter, or information may lead to the emergence of new system qualities on the macroscopic scale that cannot be reduced to the dynamics of the agents. Quantitative approaches to the dynamics of complex systems have to consider a broad range of concepts, from analytical tools, statistical methods and computer simulations to distributed problem solving, learning and adaptation. This is an interdisciplinary enterprise.