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Identification of Autopoietic Communication Patterns in Social and Economic Networks

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Analysis of Images, Social Networks and Texts (AIST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 542))

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.

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Notes

  1. 1.

    In SNA theory an agent is commonly named “an actor”.

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Acknowledgement

The work was supported by the RFBR grant no. 15-06-04863 (“Mathematical models of local payment system lifecycles”).

Author information

Authors and Affiliations

  1. Institute of Industrial Ecology, Ekaterinburg, Russia

    Dmitry B. Berg

  2. International Alexander Bogdanov Institute, Ekaterinburg, Russia

    Dmitry B. Berg

  3. Ural Federal University, Pr. Mira, 19, Yekaterinburg, 620002, Russian Federation

    Dmitry B. Berg & Olga M. Zvereva

Authors
  1. Dmitry B. Berg
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  2. Olga M. Zvereva
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Corresponding author

Correspondence to Olga M. Zvereva .

Editor information

Editors and Affiliations

  1. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  2. Wolverhampton, United Kingdom

    Natalia Konstantinova

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Alexander Panchenko

  4. National Research University Higher School of Economics, Moscow, Russia

    Dmitry Ignatov

  5. Ural Federal University, Yekaterinbug, Russia

    Valeri G. Labunets

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Berg, D.B., Zvereva, O.M. (2015). Identification of Autopoietic Communication Patterns in Social and Economic Networks. In: Khachay, M., Konstantinova, N., Panchenko, A., Ignatov, D., Labunets, V. (eds) Analysis of Images, Social Networks and Texts. AIST 2015. Communications in Computer and Information Science, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-26123-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-26123-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26122-5

  • Online ISBN: 978-3-319-26123-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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