Author:
Barkalov S A,Kurochka P N,Kalinina N Yu,Polovinkina A I
Abstract
Abstract
We consider an arbitrary set of counterparties, united either in a social network or in the field of joint activities, for example, top management of an engineering company. It is required to build a rating for each participant based on the results of mutual evaluation of the participants of the association in question, when the significance of the counterparty’s assessment will depend on how it was evaluated by other participants in the association. To solve this problem, the interaction between counterparties was modeled in the form of a graph. For each vertex, its potential was determined, and for each edge of the graph, the flow along it. Based on these data, ratings were obtained from participants in the scientific and technical council of a machine-building enterprise. It is shown that using a similar algorithm, it is possible to obtain estimates of the significance of agents in social networks when conducting marketing research.
Reference11 articles.
1. Building Integrated Estimates Based on Logistic Regression;Barkalov;News of Higher Educational Institutions. Textile Technology,2017
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