Nakonechna, YuliiaSavchuk, BohdanKovalova, Anna2025-04-022025-04-022024Nakonechna, Y. Information network topology: mathematical model of suggestive influence / Yuliia Nakonechna, Bohdan Savchuk, Anna Kovalova // Theoretical and Applied Cybersecurity: scientific journal. – 2024. – Vol. 6, No. 1. – P. 32-41. – Bibliogr.: 29 ref.https://ela.kpi.ua/handle/123456789/73218Psychological operations (PsyOps) have become an increasingly important aspect of modern warfare and political maneuvering, shaping target populations’ perceptions, emotions, and behaviors. Understanding the mechanisms by which these operations function and impact target populations is crucial for developing effective countermeasures. This paper proposes a model for the spread of such content based on epidemiological and pharmacokinetic approaches. By drawing analogies between the spread of PsyOps and the diffusion of pathogens or chemicals, we develop mathematical models to describe the dynamics of PsyOps dissemination. The model considers factors such as initial conditions, strength and persistence of a PsyOp, susceptibility, and interconnectedness of the target population. Solutions to the proposed equations are provided, offering insights into the potential spread and control of PsyOps.encybersecuritypsychological operationsаgent-based modelinginformation diffusionInformation network topology: mathematical model of suggestive influenceМоделювання поширення інформаційно-психологічних операцій з використанням епідеміологічного та фармакокінетичного підходівArticleP. 32-41https://doi.org/10.20535/tacs.2664-29132024.1.312577004.942, 519.876.5