Three-Dimensional Visualization for Multidimensional Analysis and Performance Management of Socio-Economic Systems
Data Envelopment Analysis (DEA) models and Free Disposal Hull (FDH) models were proposed almost simultaneously in the scientific literature. In DEA models, the constraints generate a convex set. For this reason, optimization methods and software are widely used for modeling and computations for these models. Non-convexity of production possibility set of FDH models refrained significantly the development of these models. In this paper, two methods are proposed for two-and three-dimensional frontier visualization for DEA and FDH models. Computational experiments using real-life datasets documented reliability and effectiveness of proposed methods.
In this paper we present some preliminary results for text corpus visualization by means of so-called reference graphs. The nodes of this graph stand for key words or phrases extracted from the texts and the edges represent the reference relation. The node A refers to the node B if the corresponding key word / phrase B is more likely to co-occur with key word / phrase A than to occur on its own. Since reference graphs are directed graphs, we are able to use graphtheoretic algorithms for further analysis of the text corpus. The visualization technique is tested on our own Web-based corpus of Russian-language newspapers.
The history of visual anthropology as method and theory is considered in the paper. Its place in the system of cultural sciences, as well its practical functions carried out first of all while conducting the field research are analyzed. The short history of audiovisual documenting and using of photo and cinema tools in the western expedition practices is discussed. The situation of "communication turn» in anthropology as the factor which redefined the identity of discipline in the second half of the XX century is discribed.
The report considers the basic methods of simulation of socio-economic systems and processes such as system dynamics and multi-agent-based computer simulation, their possibilities in studying the dynamic aspects of the processes of strategic development of socio-economic systems. It offers the methods of combining composite system-dynamic and agent-based models, allowing us to investigate the dynamics of socio-economic processes by a cyclic interaction of processes of individual and group behavior of economic and social agents at the micro level with the basic processes of socio-economic system at the macro level. The report outlines the key areas of improvement of technology of simulation and scenario approach procedures for strategic planning and development of socio-economic systems.
In this study, we aim to discover Russian “centers of excellence” and explore patterns of their collaboration with each other and with foreign partners. Highly cited papers serve as a proxy for “excellence” and co-authored papers as a measure of collaborative efforts. We find that at the moment research institutes (of the Russian Academy of Sciences as well as others) remain the key players, in spite of recent government initiatives to stimulate university science. The contribution of commercial sector to high-impact research is negligible. More than 90% of Russian highly cited papers involve international collaboration, Russian institutions often not playing a dominant role there. Patterns of national (“intra-national”) collaboration differ significantly across different types of organizations, the strongest ties are between three nuclear/particle physics centers. We draw a co-authorship map to visualize collaboration between Russian centers of excellence.
The goal of the conference is to help build cross-disciplinary networks of analysts, software specialists, and researchers to advance the use of textual information in multiple science, technology, and business development fields. Within this context, conference themes will include, but are not limited to:
DataSourcing, preparing, and interpreting data sources including patents, publications, webscraping, and other novel data sources
Text-mining tools and methodsBest practices in software-based topic modeling, clumping, association rules, term manipulation, text manipulation, etc. Visualization
Applied researchFuture-Oriented Technology Analysis (FTA) Intelligence gathering to support decision-making in the private sector (e.g., Management of Technology)
PRODUCTION OF NEWS PHOTOGRAPHY: ANALYTICAL RESOURCES OF SOCIAL SCIENCES The article focuses on the process of production of news photographs. News photographs, created by leading information agencies, occupy a significant place in the visual flow that surrounds modern man, however their production is practically not investigated. Proposed by the author revision of approaches, developed in the context of visual researches and sociology of journalism, promotes designation of fundamental principles of microanalysis of visual production. For their detalization the materials of fieldwork conducted in Moscow bureaus of international wire services (interviews and participant observation) carried out by the author are used.
In this study, we discover Russian “centers of excellence” and explore patterns of their collaboration with each other and with foreign partners. Highly cited papers serve as a proxy for “excellence” and coauthored papers as a measure of collaborative efforts. We find that currently research institutes (of the Russian Academy of Sciences as well as others) remain the key players despite recent government initiatives to stimulate university science. The contribution of the commercial sector to high-impact research is negligible. More than 90% of Russian highly cited papers involve international collaboration, and Russian institutions often do not play a dominant role. Partnership with U.S., German, U.K., and French scientists increases markedly the probability of a Russian paper becoming highly cited. Patterns of national (“intranational”) collaboration in world-class research differ significantly across different types of organizations; the strongest ties are between three nuclear/particle physics centers. Finally, we draw a coauthorship map to visualize collaboration between Russian centers of excellence.
The articles in this collection are written on the basis of reports made in 2015 at the faculty of computational mathematics and cybernetics of Moscow State University M.V. Lomonosova at the annual meeting of the XVIII Interdisciplinary Scientific Seminar "Mathematical modeling and informatics of social processes" named Hero of Socialist Labor Academician A.A. Samarskogo. The publication is intended for researchers, teachers, students, universities and research institutes Russian Academy of Sciences with an interest in the development and implementation of the methodology of mathematical modeling for the study of social processes.