Special Prevention with the Use of Neural Networks

New means of social community, whose full-fl edged form can be stated by the end of the fi rst quarter of the 21st century, are insuffi ciently used for general and special crime prevention. Meanwhile, social diff erentiation, preferences in social groups, and com- mon motives for consolidation into such social groups can obviously be the subject of system analysis by neural networks. One of the results of such an analysis, if the task is properly formulated, should be expected to be the formation of a system of measures of social infl uence aimed at identifying individual causes of crime and their prevention. This direction is a promising vector both for identifying unique patterns of crime and for the purpose of forming prognostic models in relation to individual social groups.