Методы анализа компьютерных социальных сетей
| dc.contributor.author | Батура, Татьяна Викторовна | ru_RU |
| dc.contributor.author | T. V. Batura | en_EN |
| dc.creator | Институт систем информатики им. А. П. Ершова СО РАН | ru_RU |
| dc.creator | A.P.Ershov Institute of Informatics Systems SB RAS | en_EN |
| dc.date.accessioned | 2013-02-27T15:15:40Z | |
| dc.date.available | 2013-02-27T15:15:40Z | |
| dc.date.issued | 2013-02-27 | |
| dc.identifier.issn | 1818-7900 | |
| dc.identifier.uri | https://lib.nsu.ru/xmlui/handle/nsu/250 | |
| dc.description.abstract | Представлен обзор работ, посвященных проблеме анализа компьютерных социальных сетей. Существует четыре основных направления исследований в данной области: структурное, ресурсное, нормативное и динамическое. Для решения различных задач при анализе социальных сетей используются графовые и стохастические модели, модели эволюции сетей, методы с привлечением онтологий, структурные и реляционные модели, методы машинного обучения, методы визуализации графов и т. д. Приведено краткое описание наиболее популярных в настоящее время компьютерных социальных сетей и перечислены отдельные интересные программные приложения для их анализа. Намечены некоторые возможные пути дальнейших исследований, а именно: необходимость создания интегральной теории социальных сетей, более существенная адаптация методов обработки текстовой информации к сетевому контенту и др. | ru_RU |
| dc.description.abstract | This work is dedicated to social network analysis. There are four main research areas: structural, resource, regulatory, and dynamic. For the solving of the problems in social network analysis following methods are used: graph and stochastic models, models of network evolution, methods involving ontologies, structural and relational models, machine learning methods, network visualization techniques, etc. The article also describes the most popular computer social networks and some software applications to analyze them. It is identified some possible paths of research: the creation of an integrated theory of social networks, adaptation of methods of natural language text processing to the online content, etc. | en_EN |
| dc.language.iso | ru | ru_RU |
| dc.publisher | Новосибирский государственный университет | ru_RU |
| dc.subject | анализ социальных сетей | ru_RU |
| dc.subject | модель сети | ru_RU |
| dc.subject | граф сети | ru_RU |
| dc.subject | интеллектуальный анализ данных | ru_RU |
| dc.subject | центральность | ru_RU |
| dc.subject | cenrality | en_EN |
| dc.subject | data mining | en_EN |
| dc.subject | graph of network | en_EN |
| dc.subject | network model | en_EN |
| dc.subject | social networks analysis | en_EN |
| dc.title | Методы анализа компьютерных социальных сетей | ru_RU |
| dc.title.alternative | Methods of social networks analysis | en |
| dc.type | Article | ru_RU |
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| dc.subject.udc | 519.68; 681.513.7; 612.8.001.57; 007.51/.52 | |
| dc.relation.ispartofvolume | 10 | |
| dc.relation.ispartofnumber | 4 | |
| dc.relation.ispartofpages | 13-28 |