Digital Environment: Information Analytical Postprocessing Using the Scientometric and Data Analysis Methods

  • O. V. SyuntyurenkoEmail author


This article studies the macrostructure and dynamics of the growth of the global digital environment. It presents the possibilities and application areas of scientometrics and data analysis methods for the production of information and analytical products and services. It briefly analyzes the base of potential data sources for the problems of analytical postprocessing and prospective approaches to more in-depth information processing and new knowledge retrieval. Considering the rapid development of the online infrastructure of science and digital transformation of the information space, the main conceptual theses of implementation of technologies and information analytical postprocessing systems are formulated. Theoretical and applied aspects of analytical postprocessing within the structure of Big Data technologies are discussed. Some determinant factors of implementation of domestic Digital Economy of The Russian Federation program are presented. The goal of this work was to demonstrate the potential and system role in the formation of the new information environment.


digital environment information analytical postprocessing scientometrics data analysis prediction social networks supercomputing Big Data sociodynamics classification systems risks 



This work was funded by the Russian Scientific Foundation, grant no. 17-07-153.


The authors declare that they have no conflict of interest.


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© Allerton Press, Inc. 2019

Authors and Affiliations

  1. 1.All-Russian Institute for Scientific and Technical Information, Russian Academy of SciencesMoscowRussia

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