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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">mais</journal-id><journal-title-group><journal-title xml:lang="ru">Моделирование и анализ информационных систем</journal-title><trans-title-group xml:lang="en"><trans-title>Modeling and Analysis of Information Systems</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1818-1015</issn><issn pub-type="epub">2313-5417</issn><publisher><publisher-name>Yaroslavl State University</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">mais-1025</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>Оригинальные статьи</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Articles</subject></subj-group></article-categories><title-group><article-title>Визуализация динамических графов для анализа сложных сетей</article-title><trans-title-group xml:lang="en"><trans-title>The Analysis of Complex Networks with Dynamic Graph Visualization</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>Пупырев</surname><given-names>С. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Pupyrev</surname><given-names>S. N.</given-names></name></name-alternatives><email xlink:type="simple">pupyrev@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тихонов</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Tikhonov</surname><given-names>A. V.</given-names></name></name-alternatives><email xlink:type="simple">altsoph@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Уральский государственный университет</institution><country>Russian Federation</country></aff><aff xml:lang="ru" id="aff-2"><institution>ООО Corelogic</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2010</year></pub-date><pub-date pub-type="epub"><day>20</day><month>03</month><year>2010</year></pub-date><volume>17</volume><issue>1</issue><fpage>117</fpage><lpage>135</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Пупырев С.Н., Тихонов А.В., 2010</copyright-statement><copyright-year>2010</copyright-year><copyright-holder xml:lang="ru">Пупырев С.Н., Тихонов А.В.</copyright-holder><copyright-holder xml:lang="en">Pupyrev S.N., Tikhonov A.V.</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://www.mais-journal.ru/jour/article/view/1025">https://www.mais-journal.ru/jour/article/view/1025</self-uri><abstract><p>Предложен метод визуализации динамических графов, позволяющий анализировать сложные сети. Наш метод основан на построении послойных укладок графов с сохранением ментальной карты. Для этого алгоритмы визуализации, основанные на физических аналогиях, обобщены и расширены на случай изменяющихся графов. 
Предложенные алгоритмы применены для визуализации нескольких со¬циальных сетей. Эксперименты показывают, что наши методы визуализации упрощают анализ реальных данных и помогают при решении задач, связанных с исследованием динамики социальных отношений.</p></abstract><trans-abstract xml:lang="en"><p>The work describes a technique for dynamic graph visualization that helps us to analyze complex networks. Our method builds layouts for a sequence of graphs, while preserving the mental map. We show how to modify force-directed algorithms for the dynamic graphs. The proposed method is applied for visualization of several social networks. The experiments demonstrate the effectiveness of dynamic graph drawing for analyzing real-world data and the evolution of social relationships changing over time.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>519.6</kwd><kwd>рисование графов</kwd><kwd>динамический граф</kwd><kwd>визуализация</kwd><kwd>анализ сложных сетей</kwd></kwd-group><kwd-group xml:lang="en"><kwd>graph drawing</kwd><kwd>dynamic graph</kwd><kwd>visualization</kwd><kwd>complex network analysis</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">Albert R., Barabasi A.-L. Statistical mechanics of complex networks // Reviews of Modern Physics. 2002. 74. P. 47-97.</mixed-citation><mixed-citation xml:lang="en">Albert R., Barabasi A.-L. Statistical mechanics of complex networks // Reviews of Modern Physics. 2002. 74. 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