The modern era of information technologies requires innovative approaches to the analysis and use of textual data. Artificial intelligence, in particular large language models (LLM), provides unique opportunities for automating the creation and analysis of semantic networks. The book offers an interdisciplinary approach combining methods of generative artificial intelligence, mathematical formalization and practical application in the fields of social analytics, politics, information security and advertising. The book discusses new methods for creating, analyzing, and modifying semantic networks using LLM. Special attention is paid to the concept of a "swarm of virtual experts", which is based on the multiple selections of concepts and connections to form semantic structures, as well as the modification of these networks to obtain new texts or predictions. Approaches to solving such problems as the effective use of generative models for textual data analysis, the use of developed approaches in the field of cyber security, social monitoring, and political analysis are also proposed.

The monograph is intended for specialists in the field of artificial intelligence, researchers in the field of data analysis, information security and social analytics, as well as students of education who are interested in modern approaches to textual data processing. It will also be useful to practitioners working on forecasting, modeling and information impact tasks.