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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">intechngu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник НГУ. Серия: Информационные технологии</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik NSU. Series: Information Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1818-7900</issn><issn pub-type="epub">2410-0420</issn><publisher><publisher-name>НГУ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.25205/1818-7900-2021-19-3-61-69</article-id><article-id custom-type="elpub" pub-id-type="custom">intechngu-176</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></article-categories><title-group><article-title>Методы Paper2vec и Cite2vec для анализа коллекций научных публикаций 6</article-title><trans-title-group xml:lang="en"><trans-title>Paper2vec and Cite2vec Methods for Analyzing Collections of Scientific Publications</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8765-3263</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тихонов</surname><given-names>Н. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Tikhonov</surname><given-names>N. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Николай Игоревич Тихонов, аспирант </p><p>Новосибирск </p></bio><bio xml:lang="en"><p> Nikolay I. Tikhonov, Graduate Student </p><p>Novosibirsk </p></bio><email xlink:type="simple">t.kolya54@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Новосибирский государственный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Novosibirsk State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>18</day><month>11</month><year>2021</year></pub-date><volume>19</volume><issue>3</issue><fpage>61</fpage><lpage>69</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Тихонов Н.И., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Тихонов Н.И.</copyright-holder><copyright-holder xml:lang="en">Tikhonov N.I.</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://intechngu.elpub.ru/jour/article/view/176">https://intechngu.elpub.ru/jour/article/view/176</self-uri><abstract><p>Визуализации коллекций научных публикаций используются для лучшего понимания наборов данных. При построении таких визуализаций могут использоваться различные методы анализа текстовых коллекций. В данной статье речь идет о двух методах анализа – Paper2vec и Cite2vec, которые в своей работе используют информацию о цитировании и получают векторные представления документов. Чтобы продемонстрироватьработу методов, были разработаны визуализации, которые описаны в данной работе.</p></abstract><trans-abstract xml:lang="en"><p>Visualizations are used to better understand collections of scientific publications. Various methods of analyzing text collections can be used to build these visualizations. This article discusses two methods Paper2vec and Cite2vec that get vector representations of documents using citation information. To demonstrate a work of these techniques and an example of their application, visualizations were developed, which are described in this paper.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>визуализация коллекций документов</kwd><kwd>векторное представление документов</kwd><kwd>сети цитирования</kwd><kwd>контексты цитирования</kwd></kwd-group><kwd-group xml:lang="en"><kwd>visualization of document collections</kwd><kwd>vector representation of documents</kwd><kwd>citation networks</kwd><kwd>citation contexts</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Апанович З. В. Эволюция методов визуализации коллекций научных публикаций // Электронные библиотеки. 2018. Т. 21, № 1. C. 2–42.</mixed-citation><mixed-citation xml:lang="en">Apanovich Z. V. Evolution of Visualization Methods for Research Publication Collections. 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