Introduction. Information-technical and information-psychological influences are the main negative factors affecting the information security according to the Information Security Doctrine of the Russian Federation. Therefore, modeling, evaluating and forecasting information influences on social groups and organizing adequate information counteraction are urgent tasks of management.
Materials and Methods. The system-dynamic models of information influences in social networks and groups are considered. Their application for purposes of counteraction to information terrorism and extremism is proved. The description in the form of flowcharts is given. Systems of differential equations are presented. Experiments with models using the advanced simulation platform Anylogic have been carried out.
Results. In a sample of Russian settlements based on the cluster analysis there have been found homogeneous typological groups that differ in the average time of disseminating information in social networks. Based on Gibbs’s Postulate, the system-dynamic model of information influences on students has been successfully tested.
Discussion and Conclusion. The high consistency of simulation results with empirical data (determination coefficients of at least 90 %) is shown. Models allow forecasting the information influence and information counteraction and playing different scenarios for the dynamics of these processes.
In the paper, the oil and gas exploration methods and technologies have been compared. It is noted that the use of modern computer technologies and mathematical models ensure progress in the search and exploration of hydrocarbons. Contact and remote exploration methods and technologies have been outlined. Among contact ones, the field and analytical methods have been compared, and among remote ones, geomorphological and structurometric techniques and computer geodynamic simulation (CGDS) developed by the authors have been successively analyzed. Based on expert analysis, it has been concluded that remote-sensing methods are significantly cheaper (3-10 times). Geomorphological and structurometric remote-sensing methods are based on GPS images, i.e. they use the ‘top view’ technology. On the contrary, the CGDS technique implements the ‘view from inside’ technology based on a system of geodynamic models. It does not require preliminary fieldwork, and its application may be focused on poorly developed, complex areas such as the Arctic zone.
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