Data Science for Massive Networks
In this chapter we attempt to briefly describe a history of massive networks, their place in modern life, and discuss open problems related to them. We start with giving a historical overview indicating the most influential milestones in the development of networks. Then we consider how real-life massive datasets can be represented in terms of networks describing some examples and summarizing properties of such networks. We also discuss cases of modeling real-life massive networks. In addition, we give some examples of how to optimize in massive networks and in which areas we can apply these techniques. We conclude by discussing open problems of massive networks.
The 11th International Conference on Security and its Applications (CNSA 2018) was held in Zurich, Switzerland, during January 02~03, 2018. The 5th International Conference on Data Mining and Database (DMDB 2018) and The 5th International Conference on Artificial Intelligence and Applications (AIAP 2018) was collocated with The 11th International Conference on Security and its Applications (CNSA 2018). The conferences attracted many local and international delegates, presenting a balanced mixture of intellect from the East and from the West. The goal of this conference series is to bring together researchers and practitioners from academia and industry to focus on understanding computer science and information technology and to establish new collaborations in these areas. Authors are invited to contribute to the conference by submitting articles that illustrate research results, projects, survey work and industrial experiences describing significant advances in all areas of computer science and information technology.
This paper studies the small and often overlooked group of internationally created research-driven ventures and discusses their impact on Russia. Building on previously established networks which allow new knowledge-intense assets to be formed, these companies introduce novel products and processes to the Russian market and develop them further. While such ventures get access to knowledge generated outside Russia, they also benefit greatly from their partners’ ecosystems which allow them to avoid the obstacles in their home markets. Thereby, they increase their learning opportunities beyond the rather restricting Russian environment and learn much about international entrepreneurship.
A balanced social structure within an organization is often considered as one of the major factors of company success. Thus the analysis of organizational networks is an important direction in network and organizational studies. In this paper we explore the mechanisms of collaboration using information about scientific paper coauthorships. We reveal the collaboration mechanisms within research departments of top Russian oil companies, Gazpromneft, Bashneft, Lukoil, and Tatneft. We examine the role of management in professional community formation.
The paper investigates the process of evolutionary transformation of cooperation and integration modes of industrial and construction enterprises in St.-Petersburg. The period of research (1995-2015) covered three crises in the Russian economy: the crisis after the default of 1998-1999, the global financial crisis of 2008-2009, and the current crisis of 2014-2015. The results obtained enable us to analyze the evolution of the intellectual capital management system in networks, as well as the evolution of networks themselves during changes in the business environment. The network form of integration was chosen as the main objet of this research. The paper is aimed at identifying the path of knowledge management development in different types of networks. One of the peculiarities of the network form of integration is the high level of independence of the network participants that interact with each other. Key issues in this cooperation would be the following: How to organize an effective transfer of knowledge and technologies within a network? How to find a balance between open systems of innovation and the protection of the intellectual property of network participants? How to evaluate the intellectual capital of a network? Is it necessary to make an assessment for each participant separately? Should one take into account synergies that increase the value of the intellectual capital because of the network participants’ interaction and knowledge sharing? How to increase competitiveness of each company and of the whole network by the effective use of the intellectual capital? How to measure the impact of open innovations on the intellectual capital of the companies interacting within a network? Thus, it is important to reveal how knowledge management system is developing within a network of inter-related enterprises. On the base of interviews of top-managers of companies in industrial and construction companies there were identified five different types of networks and knowledge management systems within these types. It is demonstrated how the knowledge management model is growing and becoming mature from the amorphous type of network cooperation to the integrated type.
Abstract — this paper presents simulation system TriadNS. This simulation system is dedicated for computer networks design and analyses. Nowadays new types of computer network exist: SDN (software-defined networks) and SON (self-organizing networks). Authors discusses routing algorithm SBARC and consider the ability of simulation system TriadNS to simulate and to analyze characteristics of this algorithm, so one may conclude that TriadNS is applicable for a design of new types of computer networks.
The article considers some paradoxical properties of network structures which are studied in the modern networks science; and some conclusions for social cognition, effective construction of social and communication environments, management and forecasting are drawn. In this connection, such a phenomenon of communication and organization of social life as intersubjectivity is discussed. The concept of enactivism developed in the modern cognitive science and in the nonclassical epistemology is involved. It is shown that interactivity in social networks is a) dynamic process, b) interaction and coordination of two or more bodily organized cognitive subjects, c) the production of meanings in the mutual play of interacting subjects, the so-called partisipational production of meanings.
The article presents theoretical and empirical results of the first year of the research project “Media & Technologies in Contemporary City”. These results include the development of an interdisciplinary methodology that combines approaches of new media studies and urban studies (anthropology of digital city); as well as the results of field surveys of urban mobility and Moscow museums’ digitalization.
The collection of articles presents the materials of the 15th "Bosporan phenomenon", which is an international scientific conference devoted to the comparative analysis of the Bosporan Kingdom and its relations with other states of the ancient world and Greek cities-colonies of the Northern black sea region, to the identification of common and specific features in its state structure, historical environment, evolution, social and political life, material and spiritual culture. The publication is intended for professionals and a wide range of readers interested in the problems of ancient history.