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Analytical review of the main classes of modern models of information impact assessment, including in social networks
Shachneva Anna Vladimirovna

graduate student, Financial University under the Government of the Russian Federation

117229, Russia, g. Moscow, ul. Sevastopol'skii Pr., 28



The author considered in detail the main classes of modern models of information impact assessment. The subject of research is economic-mathematical methods, which include elements of approaches and results, the theory of fuzzy sets, the theory of probability, the theory of decision making and operations research and the theory of Markov chains, in the context of application to modeling the influence of information on economic processes. The purpose of the study is to analyze in detail the existing domestic and foreign models of information influence. The methodology and methodological apparatus of the research is represented by the developments and theoretical concepts presented in the works of domestic and foreign authors in the field of economic and mathematical modeling, probability theory and mathematical statistics. The novelty of the research lies in the fact that, based on the analysis of existing models of information impact, it was possible to develop approaches to the construction of mathematical models of the influence of information effects on economic processes. Also highlighted areas for further work to improve the existing models of information influence in order to further more effective assessment of information impacts on economic processes.

Keywords: targeted informational impact, Markov chains, SOCIAL NETWORK, simulation models, information management, optimization models, information impact, decision theory in economics, models of information influence, modeling



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