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Method for identification, stability analysis and the dynamics monitoring of sociotechnical clusters

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, , Citation V Borisov et al 2020 J. Phys.: Conf. Ser. 1553 012018 DOI 10.1088/1742-6596/1553/1/012018

1742-6596/1553/1/012018

Abstract

The problem arising in the study of sociotechnical clusters is revealed. This problem consists in the impossibility of using a standard approach for the identification and sociotechnical clusters analysis, which does not take into account the relationship of coordinated interaction between objects in such clusters, depending on their goals and objectives. The set of indicators for the identification and analysis of sociotechnical clusters is substantiated. These indicators are based on fuzzy relations of concerted interaction between objects in such clusters. The original method for identification, stability analysis and the dynamics monitoring of sociotechnical clusters is proposed. The proposed method, in contrast to the known ones, allows you to analyze: the changing of the sociotechnical clusters sizes; the sociotechnical cluster centre drift; the separation and merging of these clusters; the emergence and disappearance of sociotechnical clusters. Fuzzy cognitive approach is used for the first time: firstly, to justify and estimate a set of indicators for sociotechnical clusters; secondly, for the stability analysis of these sociotechnical clusters.

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10.1088/1742-6596/1553/1/012018