Convergence of Regional Information Spaces as a Factor of Global Digital Economy

Abstract

The article reveals the peculiarities of convergence of regional information spaces in the global digital neural network economy. Introduced into scientific circulation the concept of "neural network information space" (NNIC) and the characteristic of its main elements. Principles of allocation subsystem clusters NNIC. The content of the concept "convergence of information spaces" is put into circulation and disclosed. Its functional role in the process of complex NNIC convergence is revealed. The necessity of transformation of the vector of information space development for transition to NNIC information space is substantiated. Grounded approach to the definition of synergy effect from the convergence of local and regional information spaces in the integrated information space of the NNIC. It is concluded that the transition to the complex information space NNIC includes the convergence of clusters of regional information spaces, contributing to the production of new specific neural network effects.