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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">bibliosfera</journal-id><journal-title-group><journal-title xml:lang="ru">Библиосфера</journal-title><trans-title-group xml:lang="en"><trans-title>Bibliosphere</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1815-3186</issn><issn pub-type="epub">2712-7931</issn><publisher><publisher-name>ГПНТБ СО РАН</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20913/1815-3186-2022-3-101-122</article-id><article-id custom-type="elpub" pub-id-type="custom">bibliosfera-1835</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>НАУКА В ЦИФРАХ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SCIENCE IN FIGURES</subject></subj-group></article-categories><title-group><article-title>Наукометрический анализ литературы по теме «научные социальные сети»</article-title><trans-title-group xml:lang="en"><trans-title>A Scientometric Analysis of the Literature on the Topic “Academic Social Networks”</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0329-414X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бусыгина</surname><given-names>Т. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Busygina</surname><given-names>T. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бусыгина Татьяна Владимировна, кандидат биологических наук, ведущий научный сотрудник, заведующий отделом научной библиографии </p><p>ул. Восход, 15, Новосибирск, 630200</p></bio><bio xml:lang="en"><p>Busygina Tatyana Vladimirovna, Candidate of Biological Sciences, Leading Researcher, Head of Department of Scientific Bibliography</p><p>Voskhod str., 15, Novosibirsk, 630200</p></bio><email xlink:type="simple">Busygina@spsl.nsc.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9837-9423</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Юкляевская</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Yuklyaevskaya</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юкляевская Анна Вячеславовна, младший научный сотрудник отдела научной библиографии, аспирант</p><p>ул. Восход, 15, Новосибирск, 630200</p></bio><bio xml:lang="en"><p>Yuklyaevskaya Anna Viacheslavovna, Junior Researcher, Postgraduate Student, Department of Scientific Bibliography</p><p>Voskhod str., 15, Novosibirsk, 630200</p></bio><email xlink:type="simple">YuklyaevskayaA@spsl.nsc.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Государственная публичная научно-техническая библиотека Сибирского отделения Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State Public Scientific Technological Library of the Siberian Branch of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>29</day><month>06</month><year>2022</year></pub-date><volume>0</volume><issue>3</issue><fpage>101</fpage><lpage>122</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Бусыгина Т.В., Юкляевская А.В., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Бусыгина Т.В., Юкляевская А.В.</copyright-holder><copyright-holder xml:lang="en">Busygina T.V., Yuklyaevskaya 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.bibliosphere.ru/jour/article/view/1835">https://www.bibliosphere.ru/jour/article/view/1835</self-uri><abstract><p>В последние несколько десятилетий научная коммуникация все шире осуществляется посредством академических социальных сетей. Целью статьи является рассмотрение академических социальных сетей как инструмента исследования и как объекта изучения в научных публикациях. Проведено наукометрическое исследование документопотока по проблеме «научные социальные сети» (НСС), представленного в Web of Science (1216 документов). Установлено, что исследуемый информационный массив содержит не только публикации, в которых НСС являются объектом исследования, но и статьи, в которых НСС указываются как источники библиографических данных для проведения систематического обзора или метаанализа (преимущественно в медицине); либо как репозиторий экспериментальных данных. Показано, что публикации в БД WoS появляются с 2005 г. США, Вуллвертонский университет (Великобритания) и Телволл М. – страна, организация и автор – лидирующие по числу публикаций по проблеме НСС. Журналы, в которых опубликованы документы исследуемого массива, отнесены к областям: Информатика; Информатика и библиотечное дело; Машиностроение; Инженерия и технологии. Четыре из 10 наиболее часто цитируемых публикаций по НСС посвящены альтметрикам. Анализ коцитирования документов, выполненный с использованием программы для наукометрических исследований свободного доступа CiteSpace, позволил выявить основные исследовательские фронты: на заре появления НСС в информационном пространстве ученые обсуждали «рекомендации сообщества», соотношение «профессиональное индексирование контента/фольксономия» и «проблему холодного старта». По мере развития НСС основным предметом научных исследований стали альтернативные метрики, применяемые в НСС. Последнее утверждение подтверждается анализом сочетаемости слов, также выполненным с использованием CiteSpace. Показано, что наиболее частотными ключевыми словами исследуемого документопотока являются «альтметрики», «влияние» и «цитирование».</p></abstract><trans-abstract xml:lang="en"><p>In the past few decades, scientific communication has become widespread through academic social networks (ASNs). The purpose of this article is to consider ASNs both as a research tool and as an object of study in scientific publications. The scientometric analysis of literature on ASNs was carried out. The literature set consisted of 1,216 records retrieved from the Web of Science (WoS) database. The set included the documents where the ASNs were the scientific research objects or those where the ASNs were only mentioned as a bibliographic data source for systematic reviews or meta-analyses (predominantly in medicine) or as an experimental data repository. It was found that documents on ASNs started to appear in the WoS after 2005. The USA, the University of Wolverhampton (United Kingdom), and M. Thelwall are the country, organization, and author leading in the number of documents on ASNs in the set. The journals published the documents presented by the following subject areas: Computer Science; Computer Science and Librarianship; Mechanical Engineering; Engineering and Technology. Four out of the first ten highly cited documents are devoted to altmetrics in ASNs. The authors used document co-citation analysis via free scientometric analytical software CiteSpace and discovered research fronts. It was found that when the number of publications on ASNs started to rise, scholars began to discuss the community recommendation, professional indexing/folksonomy, and cold-start problem. Later, the altmetrics used in the ASNs became the main subject in the researches of ASNs. The last statement is confirmed by co-word analysis via CiteSpace. It is shown that the most frequent keywords of the studied document set are altmetrics, impact, and citation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>наукометрия</kwd><kwd>академическая социальная сеть</kwd><kwd>направления исследований</kwd><kwd>Web of Science</kwd><kwd>альтметрия</kwd><kwd>анализ совместного цитирования документов</kwd><kwd>ко-ворд-анализ</kwd><kwd>CiteSpace</kwd></kwd-group><kwd-group xml:lang="en"><kwd>scientometrics</kwd><kwd>academic social network</kwd><kwd>research fronts</kwd><kwd>Web&#13;
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