Development of an Information Model for the Personality’s Social Portrait Formation Using OSINT Technology
The results of the development of an information model for the personality’s social portrait formation are presented. The modelling has been carried out using OSINT technology that is the technology of legal obtaining and using open source information. In the result of the analysis, it has been found out that the social portrait is a heterogeneous semantic network consisting of personalized data. It has been defined that people organize formal and official communities of various orientations and the number of such communities associated with a particular person is practically unlimited. When formalizing the decision-making process, the concept of a group social portrait (GSP) has been introduced, which takes into account the community’s social tendencies united by certain common properties, group members' interpersonal interactions and their behavioural patterns. The obtained information models of personal and group social portraits let to take into account all the main properties of the objects under study, their tonality and significance, as well as to conduct an analysis of the implicit dependencies determination. The next step is to move on to considering the diversity of the digital social environment elements.