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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">folklore</journal-id><journal-title-group><journal-title xml:lang="ru">Фольклор: структура, типология, семиотика</journal-title><trans-title-group xml:lang="en"><trans-title>Folklore: Structure, Typology, Semiotics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2658-5294</issn><publisher><publisher-name>РГГУ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.28995/2658-5294-2019-1-46-61</article-id><article-id custom-type="elpub" pub-id-type="custom">folklore-29</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PAPERS</subject></subj-group></article-categories><title-group><article-title>Автоматическое выявление мифологических мотивов со сходным пространственным распределением и дистрибуционные кластеры мотивов</article-title><trans-title-group xml:lang="en"><trans-title>Automatic detection of mythological motifs with similar spatial distribution and distributional clusters of motifs</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Николаев</surname><given-names>Д. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Nikolaev</surname><given-names>D. S.</given-names></name></name-alternatives><email xlink:type="simple">dnikolaev@fastmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский государственный гуманитарный университет; Российская академия народного хозяйства и государственной службы при Президенте РФ</institution></aff><aff xml:lang="en"><institution>Russian State University for the Humanities; Russian Presidential Academy of National Economy and Public Administration</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>21</day><month>04</month><year>2020</year></pub-date><volume>2</volume><issue>1</issue><fpage>46</fpage><lpage>61</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Николаев Д.С., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Николаев Д.С.</copyright-holder><copyright-holder xml:lang="en">Nikolaev D.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://folklore.elpub.ru/jour/article/view/29">https://folklore.elpub.ru/jour/article/view/29</self-uri><abstract><p>В статье предлагается новый метод анализа географических мотивных распределений, который помогает ответить на вопрос: «Какие другие мотивы имеют такое же или схожее пространственное распределение по сравнению с данным?». Обосновывается теоретическая база метода, описываются преимущества по сравнению с другими использованными подходами. В качестве примера действенности метода был произведен пространственный анализ ряда мотивов из каталога Ю.Е. Березкина.</p></abstract><trans-abstract xml:lang="en"><p>A new method is proposed for analyzing spatial distributions of mythological motifs aiming to answer the following question,"Which motifs have the same or similar spatial distribution compared to a given motif?". The theory behind the method is explained along with its advantages compared to previously used approaches. Spatial analysis of several motifs from Yu.Ye. Berezkin’s catalogue of mythological motifs is presented as a case study.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>мифологический мотив</kwd><kwd>пространственное распределение</kwd><kwd>кластеризация</kwd><kwd>статистические методы в фольклористике</kwd></kwd-group><kwd-group xml:lang="en"><kwd>mythological motif</kwd><kwd>spatial distribution</kwd><kwd>clustering</kwd><kwd>statistical methods in folkloristic</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
