Foresight of promising scientific fields in scientific social networks

Abstract

Currently, the problem of developing methods for determining promising directions, trends in scientific research and technology is the most important component of the process of forming a national science policy. The problem of finding priority or breakthrough areas of development is reduced to sorting out in one form or another and assessing possible existing areas of scientific activity. It is proposed to use a semantic network of communicative information space, in which the structuring of the subject area is based on the selection of objects and identifying features, which include not only features-properties, but also features-relationships. A module for traversing elements of a scientific social network by reference graph has been implemented, as well as an algorithm for determining the level of importance of a scientific direction according to multiple criteria.