P. Sarkanych, N. Fedorak, Y. Holovatch, Pádraig MacCarron, Joseph Yose, R. Kenna
{"title":"Network analysis of the Kyiv bylyny cycle - east Slavic epic narratives","authors":"P. Sarkanych, N. Fedorak, Y. Holovatch, Pádraig MacCarron, Joseph Yose, R. Kenna","doi":"10.1142/S0219525922400070","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"24 1","pages":"2240007:1-2240007:25"},"PeriodicalIF":0.7000,"publicationDate":"2022-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Complex Systems","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1142/S0219525922400070","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 3
Abstract
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.
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.