System of Analysis of Big Data from Social Media

Publication Type:

Journal article preview


Information & Security: An International Journal, Volume 46 (2020)


big data, Cyber Aggregator, cyber security, OSINT, social media monitoring


The paper describes the basic principles of building and using a monitoring and analysis system of social media on cybersecurity, which are based on the concepts of Big Data, Data/Text Mining, Information Extraction, Complex Networks. The information technologies of creating a system of content monitoring of social networks on certain issues, selection of relevant information from social networks, implementation of search engine for their refinement by users, saving queries as RSS feeds, maintaining personal databases in client applications are suggested and substantiated.

The OSINT system that is being described is based on collection of information from open sources, its analysis, preparation and timely delivery of the final product to the customer in order to solve certain intelligence tasks, that is, system is the result of a systematic collection, processing and analysis of the necessary publicly available information.

The system is based on the application of methods and tools of information retrieval, data analysis and aggregation of information flows. The created system of social media content monitoring is used as a component of decision support systems for information and cybersecurity. The practical significance of the obtained results is to create a working model of the content monitoring and analysis of social media system, ready for use as a component of decision support systems for information and cyber security.