Models and methods of data analysis in solving problems of interaction of business ecosystems

Abstract

The work is devoted to the computational aspects of processing, analysis and visualization of multidimensional data, which contain information about the interaction of business systems of a resource type on the example of data from the region of the Krasnoyarsk Territory (Russia). The authors of this study emphasize that the basis for the development of a business ecosystem in a resource-rich region is cooperative network interactions, for the analysis of which an integrated approach to processing relevant data is proposed within the framework of the methodology of functional environmental analysis (the author’s method). The relevance of the study is determined, as shown in a brief review of the scientific literature, by the insufficient elaboration of methods and models for a quantitative description and the corresponding presentation (visualization) of multidimensional data that make it possible to solve the interaction problem. For numerical modeling of multidimensional data in order to build digital indicative models that characterize various facets of interaction in accordance with the method of functional-environmental analysis, a computational toolkit is proposed – a complex methodology. The main result of the research is the substantiation and brief description of the proposed implementations of algorithms and calculation schemes built into the corresponding stages of the computational experiment technology as a modern approach to solving problems of interaction and forecasting. The study was financially supported by the Russian Foundation for Basic Research, the Govern- ment of the Krasnoyarsk Territory and the Krasnoyarsk Regional Science Foundation within the framework of scientific project No. 20-410-242916.