• The project is being implemented as part of a study of young scientists under the Zhas Galym project 2022-2024.

• Head of the scientific project - Baispay Gulshat Bolatkyzy

• Scientific consultant - Mussiraliyeva Shynar Zhenisbekovna

In recent years, online social media applications have been our indispensable companions for messaging and news sharing. Social networks can be used in work, for the implementation of projects, but in addition to this, there is also the dissemination of criminal information and destructive content. Many countries today are taking various actions to prevent and regulate the spread of criminal information at the legislative level, but it is not always possible to find the main distributor nodes. In order to analyze information in a social network, it is important to first identify the influential distributors in the network. Influencer node discovery is a central research topic in social network analysis.

• The goal of the project is to create a method for identifying nodes for the dissemination of criminal information in social networks on the territory of the Republic of Kazakhstan. Also, the study of social network analysis metrics that can help in identifying key players in organized groups.

• During the implementation of the project, the following tasks are planned: development of a machine learning model for detecting criminal information in social networks, building a graph of users in networks, and developing an algorithm for identifying nodes for disseminating criminal information in social networks.

• The scientific novelty of the proposed project solutions is:

1. In developing a machine learning model for detecting criminal information in social networks.

2. In the development of an algorithm for identifying nodes for the dissemination of criminal information in social networks based on the construction of a graph of users of social networks.

• Expected results: machine learning models for detecting criminal information, methods for constructing a graph of users and a graph of posts, an algorithm for identifying influential nodes, a software application with visual analytics.

• The social significance of the project is associated with the creation of an algorithm for identifying nodes for the dissemination of criminal information in social networks for the domestic market. Since now there is a tendency to monitor social networks, there is a possibility of commercialization of the results of the project.

• Target consumers of the obtained results - applied results in the form of methodology, algorithms can be used by authorized bodies to ensure information security, to combat criminal information.