Identification of Autopoietic Communication Patterns in Social and Economic Networks / Berg Dmitry B.,Zvereva Olga M. // . - 2015. - V. 542, l. . - P. 286-294.

ISSN/EISSN:

1865-0929 / нет данных

Type:

Proceedings Paper

Abstract:

Communications develop the basis for social and economic system functioning. In every communication act system agents exchange information, senses, money, services, industrial goods, energy, etc. Economic agent communications form the network. One of the most important system characteristic is its ability to reproduce itself (autopoiesis), which is performed by circular communications in the closed contours. The main goal of this work is to consider the technology of autopoietic patterns identification in social and economic networks. A new approach to initial data collection for evaluation of social communications is proposed. In this study the data collected while ``KOMPAS TQM{''} system implementation was analyzed. The SNA methods and instruments were used for revealing autopoietic patterns and their subsequent analysis.

Author keywords:

Autopoietic pattern; Economic network; Social Network Analysis; Leontief's intersectoral equilibrium

DOI:

10.1007/978-3-319-26123-2\_28

Web of Science ID:

ISI:000369176700027

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Khachay, MY and Konstantinova, N and Panchenko, A and Ignatov, DI and Labunets, VG
Booktitle	ANALYSIS OF IMAGES, SOCIAL NETWORKS AND TEXTS, AIST 2015
Series	Communications in Computer and Information Science
Note	4th International Conference on Analysis of Images, Social Networks, and Texts (AIST), Yekaterinburg, RUSSIA, APR 09-11, 2015
Organization	Ural Fed Univ; Krasovsky Inst Math \& Mech; Russian Acad Sci, Ural Branch; Natl Res Univ Higher Sch Econ; Ctr Excellence Quantum \& Video Informat Technologies
Publisher	SPRINGER-VERLAG BERLIN
Address	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Language	English
ISBN	978-3-319-26123-2; 978-3-319-26122-5
Research-Areas	Computer Science; Robotics
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory \& Methods; Robotics
Author-Email	bergd@mail.ru OM-Zvereva2008@yandex.ru
Number-of-Cited-References	14
Usage-Count-Since-2013	3
Doc-Delivery-Number	BE2GG