Abstract
The predominance of textual or qualitative data in the information resource of the social system leads to difficulties in formalizing the process of preparing and making managerial decisions based on such types of data. The research is based on the theory of social management, the analysis of scientific literature on the topic of research, as well as on the theory of similarity. A set of models providing intellectual analysis of textual and qualitative data is offered. An overview of models of this kind is given in this chapter. Their advantages and disadvantages are noted for processing various types of data available in social systems. The models of such social systems are considered for the applicability of the model designed for one social system on the basis of quantitative data to regulate other systems on the basis of qualitative data. It is shown that most of the processes occurring in social systems are non-linear in nature. The chapter determines the possibility of more complete use of textual or qualitative data of a social system for modeling its activities on the basis of similarity theory. The obtained results create prerequisites for the development of methods for models scaling and methods of transferring them to similar systems.
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Lebedev, A., Shmonin, A., Vasiliev, F., Korobko, V. (2019). Principles of Mathematical Models Constructing Based on the Text or Qualitative Data of Social Systems. In: Kravets, A. (eds) Big Data-driven World: Legislation Issues and Control Technologies. Studies in Systems, Decision and Control, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-030-01358-5_3
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DOI: https://doi.org/10.1007/978-3-030-01358-5_3
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