Vol 51, No 4 (2017)

Indicator-based assessment of information links between science and technology is considered. Link indicators are defined as a number or matrix of numerical values that characterize the intensity and various aspects of the knowledge transfer from different research areas to the technological area. A description of primary information resources used to determine these indicator values, including full-text patent specifications, is given. A description of secondary information resources generated in the process of full-text specification, including reference links on scientific publications cited in the specifications, is represented. Initial and secondary resources are used to create and test an indicator-based information model for the assessment of science and technology links, on whose basis the integral and subject indicator values of the scientific knowledge rate of transfer to the information technology are determined.

The results of a study based Lotka’s law are presented that show the quantitative distribution of publications among groups of authors affiliated to one scientific organization. The relationship between publications and authors of articles is analyzed by building discrete mathematical structures known as graphs on the basis of multilevel citation data. This analysis makes it possible to determine the importance of an article and track its relationships and impact on adjacent areas of scientific research. The analysis is conducted by statistical processing of scientometric information. The practical results show the high convergence of empirical and analytical data. The relationships between research teams and lines of research are established.