Оцінка впливу руйнування на комунікаційне середовище

In today's world, where the volume of information is constantly growing, effective communication is a key element of success in object-oriented organizations, especially those that use virtual teams, so identifying communication problems is important. To improve the quality of the analysis of communication processes, it is proposed to use a neural network. The scheme of this network is presented in the document. The network was trained on the DisRating dataset, which was developed based on the evaluation of the organization's data, and demonstrated high classification efficiency, which was determined using a series of analytical graphs. The results were analyzed using graphs (Bias histogram, Kernel histogram, Change of losses Mean Absolute Error). Based on the initial data of the network with the help of GAP analysis, the quantitative impact on individuals in the field of communication was determined. A model for quantitative assessment of the disruptor impact on the communication environment is presented. The proposed approach achieved high accuracy in the tasks of identifying the areas of the disruptor influence and its evaluation.