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dc.date2017
dc.date.accessioned2025-08-22T12:17:59Z-
dc.date.available2025-08-22T12:17:59Z-
dc.date.issued2017
dc.identifier.identifierDspace\SGAU\20170523\64170
dc.identifier.citationSavva Yu.B. Modeling of online social networks for automated monitoring system / Yu.B. Savva, Yu.V. Davydova // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 1881-1884.
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/13632-
dc.description.abstractMonitoring using keywords is necessary step in solving the problem of detection of users’ illegal behavior in online social networks such as drug use propaganda. Analysis of text messages is difficult because of using jargon and making mistakes in communications. In this paper model of online social networks for automated monitoring system is presented. The main feature of this model is emphasis not on communications between users but on text messages.
dc.languageen
dc.publisherНовая техника
dc.titleModeling of online social networks for automated monitoring system
dc.typeArticle
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Modeling-of-online-social-networks-for-automated-monitoring-system-64170
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Modeling-of-online-social-networks-for-automated-monitoring-system-64170
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