Scientific Journal of KubSAU

Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.

The research purpose is identification and justification of the scientific team’s recognition citation-based criteria. Such parameters of the educational environment as modality, latitude, social activity, social coherence, intensity, maturity etc. are assessable on the basis of the primary information about the scientific team’s research activity results. The authors of this article prove that the data about cross-citations within a scientific team is the primary information about the scientific and pedagogical team members’ recognition of their social system (such information is obtainable from modern scientometric databases, e.g. Russian Science Citation Index). The new scientific results of this research are the identified citation-based criteria for the scientific team’s recognition. The theoretical significance of these results is the possibility of using them as a scientific basis for further research in the sociology of science and for the development of the small social systems functioning models; the practical significance is the possibility to analyze the factors for the success of scientific and pedagogical teams’ research activity (i.e. applicability for the research activity monitoring systems). The research methods are: the methods of set, relations and graph theory, the methods of qualimetry, mathematical statistics (including the scree-plot method) and linear. The research methodology is based on the sociological approach (viewing the scientific and pedagogical team as a well-established social system), the qualimetric approach (declaring the necessity for the multicriterial diagnostics of scientific and pedagogical team’s recognition) and the probabilistic and statistical approach (viewing the scientific and pedagogical team’s recognition citation-based diagnostics as a statistic measurement)

The article presents the main directions of the application of the scree plot method in solving metrological problems in the social and humanitarian fields of knowledge (economics, pedagogy, sociology, including sciencemetry). It is known that statistical measurements in socio-economic systems are inextricably linked with the processing of primary homogeneous monitoring information. It is also known that empirical averaging (computation of the empirical mean), as the dominant method of mathematical statistics, is becoming a thing of the past, due to moral aging, inconsistency with modern requirements (primarily to measurement results in socio-economic systems); In science meteorology, this method was replaced by the scree plot method (the Hirsch index and other scientometric indicators are estimated on the basis of this method). Despite its enormous potential, the scree plot method, as an alternative to traditional methods of mathematical statistics, is very poorly used in the social and humanitarian fields of knowledge. The authors of this article have shown that this method can be successfully applied in solving various metrological tasks, not only in science (sciencemetry is a branch of science), but also in economics, pedagogy and sociology. In addition, the authors show modifications of the scree plot method, using the example of measuring (measuring) indicators in the economy, sociology and pedagogy; The relationship between the scree plot method and the theory of latent variables (qualimetry) and database technology is grounded. The authors also substantiate that the scree plot method - the basis for the formation of monitoring indicators that adequately reflect the performance of socio-economic systems. The practical significance of the results of this study is that they can be used in socio-economic and psychological-pedagogical monitoring systems (according to modern views, monitoring is an information management mechanism). Methodological basis of the research: system, sociological, competence, probabilitystatistical and qualimetric approaches (leading methodological basis is the probabilistic-statistical approach). Research methods: modeling; Methods of graph theory, sets and relations; Systemic-cognitive analysis; Methods of qualimetry (the theory of latent variables); Methods of mathematical statistics

The new approach to the classification of the client by a method of credit scoring on the basis of the profiles of social networks is considered in the article. The approach illustrates interaction with social networks as new data source in credit process. Statistical methods of data processing and corresponding to them mathematical tools were involved in the analysis. The description of this approach is kept within the made experiment

The article describes a software complex which allows carrying out computer experiments in the study of economic efficiency of integrated production structures in agriculture and their stream of interaction. The article provides software used in complex mathematical ratios and their machine algorithms implementation. The authors have given a detailed description of the user interface with graphic examples. The application is written in programming language C#. This language was chosen for several reasons. The first reason is of course that C# is cross-platform that gives you the opportunity to use this app on any platform, and plays an important role in research activities. The final decision was influenced by the fact that in C# is implemented for working with charts, using standard library chart that provides a significant advantage compared to other programming languages during the development of the software complex

Demand to the method of statement of problem is substantiated and degree of known methods correspondence to these demands is determined, the most available method of problem decision is chosen by the substantiated criteria, the essence of chosen problem and the method of its application to decide the problem in view, including synthesis of semantic informational model and evaluation of its adequacy are described in brief as well.

This article presents the results of research of stream-ing scheme of interaction between agricultural (AGC) and processing (PP) agricultural enterprises which were developed by the authors of the mathematical model for calculation of economic efficiency of AGC circuits and PP, as well as for the calculation of economic efficiency of the companies in case of their association

In the article, on the basis of the results of the study of cycles of use of grain, we proposed the streaming scheme of the integrated production system for the processing of wheat grain and also gave its detailed description

In the article on a simple example the sense of semantic information model of the systemic cognitive analysis is described. Results of synthesis and verification of system of the particular models forming a part of the two-level semantic information model of agro-industrial holding management are listed

Sense of semantic information model SC- analysis is described on the simple example in the article. Results of synthesis and verification of systems of individual models, entering the two-level semantic information management of agro industrial holding.