Abstract
In the light of the emergence and rapid development of the digital economy, the development of mathematical models and methods for analyzing and forecasting the trends in the development of all possible spheres of public life comes to the forefront. In this connection, the analysis of the impact of socio-economic factors on the criminal situation in the regions of the Russian Federation is extremely topical. The research is based on the methods of variance analysis, correlation analysis, and regression analysis. The application of this mathematical apparatus to the data sets characterizing the socio-economic and criminal situation in the regions will promote a qualitatively new level of comprehension of how the aggregate of socio-economic indicators determines the criminality and its characteristics. Obviously, the models obtained by the authors do not pretend to exhaustively describe the numerical characteristics of criminality but are aimed at forming a methodological base for analyzing the criminal situation with the consideration of the social and economic situation.
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Goroshko, I., Toropov, B., Gurlev, I., Vasiliev, F. (2019). Data Analysis of the Socio-economic Factors’ Influence on the State of Crime. In: Kravets, A. (eds) Big Data-driven World: Legislation Issues and Control Technologies. Studies in Systems, Decision and Control, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-030-01358-5_7
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DOI: https://doi.org/10.1007/978-3-030-01358-5_7
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