MODELING OF SOCIAL INTERACTIONS BASED ON GRAPH APPROACHES
Abstract
The article proposes an approach to modeling social interactions in organizational systems, which consists of several stages: obtaining data about system users, for example, using network parsing; forming a GH-model of the system based on fuzzy graphs with different types of vertices and multiple different types of edges; calculating graph characteristics taking into account a certain type of edges; using values of graph characteristics to analyze the system taking into account the inherent semantic load. The expediency of using the GH graph for the study of social relations in organizational systems is substantiated, since it has a number of advantages. The GH-graph allows you to set all the necessary multi-type relationships and at the same time reduce the time of system analysis by 1.9 times by using multiple edges in the form of a vector, allowing you to combine several different types of edges. Modification of the model consists in using different types of vertices. The type of vertices in the graph is determined by calculating their characteristics. The paper shows the process of forming a graph model of a subsystem and calculating its characteristics. The results of calculating the degrees of vertices and their centrality by degrees are shown. To calculate the metric characteristics of the graph model, a modified algorithm for finding shortest paths in the GH-graph was used, which was previously developed. A special feature of this algorithm is the ability to use filters based on the type of vertices and edges. Numerical indices of the radius and diameter of the graph are obtained, groups of central and peripheral vertices are determined, the centrality of vertices in proximity is calculated, taking into account the selected types of edges for the study of different types of relations in the system. The analysis of the subsystem is carried out using the example of solving two practical problems. Groups of employees of the enterprise were identified among the network users, their possible statuses and communicative activities were determined. The user status refers to belonging to groups of managers of different levels, a group of ordinary employees of the enterprise. A solution to the problem of identifying users (groups of users) most suitable for the dissemination (or, conversely, non-proliferation) of information on the network is proposed