Analysis of real network systems with high accuracy leads to building complex highdimension models. When the time for determining system, parameters plays an important role the system modeling, time becomes a critical parameter. So, one needs to find an approximate simpler representation of such network systems while preserving the characteristic properties of the higher dimension system. In this paper, an approach related to formal transformations of the system structure model using multilevel aggregation has been applied to obtain a reduction in computational complexity and faster modeling. Software implementation of the developed algorithm allowed evaluating the effectiveness of the approach. The efficiency of the approach is demonstrated using an example of solving the maximum flow problem. Multilevel structural model transformations result in the dimension reduction of a network system presentation and, consequently, a decrease in the execution time of computational procedures.

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