MODELING OF COUNTER-TERRORISM AND EXTREMISM IN THE INFORMATION SPHERE
The article describes modeling of combating terrorism and extremism in the information sphere. The basic models are described in the form of flow charts and systems of differential equations. Also the modeling was conducted using the simulation platform Anylogic. Using cluster analysis in social networks was found four typological groups. These groups have different rates of spread effects of information. Distribution model of information exposure in social networks was also tested among students with the use of the Gibbs postulate. Was proved high consistency of simulation results with empirical data. Models allow to predict the spread of information processes, to explore different scenarios of their dynamics.