Sh. Zh. Mussiraliyeva scite author profile

The article provides for the development of algorithms and software for graphical visualization of the interconnection of criminal information networks. The use of various social network analysis techniques to identify key and influential spreaders in an online community has been explored. During the analysis of the graph, an analysis of various metrics of social network analysis methods was carried out and a comparison was made of the effectiveness of the method with ready-made data.

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Sh. Zh. Mussiraliyeva

Enterprise Security Assessment Framework for Cryptocurrency Mining Based on Monero

Creating the dataset of keywords for detecting an extremist orientation in web-resources in the Kazakh language

Research and creation ofamethod for identifying influential spreaders of criminal information in a social network

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