2018 Eleventh International Conference "Management of large-scale system development" (MLSD-2018)
Topics of the conference Management problems of large-scale system development, including multinational corporations, state holdings, and state corporations. Methods and tools for managing investment projects and programs. Management of development of a digital economy. Design offices both situational and expected analytical centers, institutes of development of large-scale systems. Simulation and optimization in the problems of development management of large-scale systems. Nonlinear processes and computing methods in the problems of management of large-scale systems. Management of development of banking and financial systems. Management of fuel, power, infrastructure and other systems. Management of transport systems. Managing the development of aerospace and other large-scale organizational-technical complexes. Managing the development of regional, urban and municipal systems. Management of objects of nuclear power and other objects of increased danger. Information support and software management systems for large-scale production. Methodology, methods, software and algorithmic support of Intellectual processing of large volumes of information. Monitoring in the management of large-scale systems. Management of large-scale systems advancement in healthcare, medico-biological systems, and technologies. Management of development of social systems.
In this article digital economy is analyzed as a socially constructed concept. It is assumed that the digital economy can be an ideological term. Ideological terms, unlike instrumental ones, are located in the center of the network and define thematic directions, instrumental ones are located between the center and the periphery. Instrumentality or ideological character of the term was analyzed by building on the array of scientific articles and texts on the digital economy thematic trees in the Text Analyst environment and analysis of semantic networks. Social network analysis was used to verify the results of thematic modelling. The results of the analysis showed that the digital economy is more likely to be classified as an ideological concept rather than an instrumental one.
The problem of studying information waves is underestimated by researchers of the social nature of this phenomenon. This article fills this gap by conceptualizing the notion of “information wave”. Information waves in social networks have a dual nature: on the one hand, having a mathematical distribution graph (wave profile), on the other – a discrete-network distribution map. The article shows examples of analysis of information waves and both kinds of their presentation. The analysis of information waves on specific socio-political examples is conducted.
In this paper, we propose a theory-based measure of alertness, the ability of a protest event to facilitate further contentious activity and attract higher numbers of protesters for further events. Our measure allows to pinpoint key features of contentious events and distinguish protest that leads to political instability. We use political protest in Ukraine as an empirical example to demonstrate our measure’s sensitivity to protest scale, activity and the nature of protesters’ demands