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- W2617941808 abstract "In the process of e-learning students are often organized in different groups in social networks for remote educational interaction. Social networks of modern Smart society are used by unscrupulous people as a means of preparing and committing various types of criminal activity. The article demonstrates the results of the development of the algorithm of identification of the user of social networks based on the analysis of text attributes and social ties which can be included in the complex of measures to combat illegal activities in social networks by law enforcement agencies. The algorithms on the similar subject developed by other authors are analyzed. The authors propose the implementation of the algorithm and experimental results on its use with specific percentages." @default.
- W2617941808 created "2017-06-05" @default.
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- W2617941808 date "2017-05-28" @default.
- W2617941808 modified "2023-09-26" @default.
- W2617941808 title "User Identification in a Variety of Social Networks by the Analysis of User’s Social Connections and Profile Attributes" @default.
- W2617941808 doi "https://doi.org/10.1007/978-3-319-59451-4_48" @default.
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