Сетевой анализ функционального значения концепта "цифровая экономика"
Materials of scientific and practical conference are included in the collection of works «Digital economy and «the Industry 4.0»: problems and prospects», prepared by laboratory «Innovative industrial economy» of Peter the Great St. Petersburg polytechnical university together with a number of the scientific organizations, higher education institutions, the industry entities.
In the collection of scientific works materials according to the theory of development of digital economy in modern conditions of the global competition, practical realization of the concept «the Industry 4.0», to research of problems and prospects of development of innovative activity of economic systems and enterprise entities, use of tools and valuation methods of an industrial development of regions, industries, the entities are reflected.
In the collection works of scientists and specialists of a number of higher education institutions, Russian Academies of Sciences institutes, the organizations, organizations and the entities, representatives of bodies of the public, municipal administration and executive power of Russia and foreign countries are provided.
Materials of the collection will be useful to teachers, scientists, specialists of the industrial, scientific enterprises, the organizations and organizations, and also graduate students, undergraduates and students.
A visibility representation of graphs in which each vertex is mapped to a horizontal segment, was originally proposed in 80s in the context of VLSI layout construction problem. In this paper we present the up-to-date survey on this representation and propose the way of its usage in visualization of semantic networks.
Infological models represent the new, intuitive way of delivering information, which allows to improve perception, analysis and sharing of data at the expense of a coherent interactive graph, well-accessible for the human.
This work is devoted to the potential effect of applying infological models in e-business and prospects, opened by their implementation.
The application opportunities to the supply chain management of such scientific branches as the Graph theory, Social Network Analysis are shown. Using simulations, it is shown how supply chain characteristics can influence of the results of the product on the market.