DEVELOPMENT OF UNCLEAR CRITERIA FOR DETERMINING THE SIGNIFICANCE OF A COMPOSITE SOCIAL PROFILE INFORMATION
DOI:
https://doi.org/10.18372/2410-7840.22.15259Keywords:
information technologies, fuzzy criteria, information from open sources, social portrait, formalization of criteria, information model, infological modelAbstract
The results of development of fuzzy criteria for determination of significance of composite information of social profile are presented. The simulation is carried out using OSINT technology - the technology of legal acquisition and use of information from open sources. As a result of the research, the parameters affecting the significance of individual characteristics of the social
profile are selected and their characteristics are determined. The information of varying degrees of structurality is processed in the course of performing of the task of social profiling. At the same time, the following data models are used: network one - for storing the data of the final social profile, and presenting them in the form of graphs; relational one - for storing the information
map of the social profile; post-shooting and NoSQL one - for storing unstructured source data and dynamic content, including multimedia. The conceptual model of presentation of these social profiles can be expanded and brought into line with the complex and mathematical models of the digital social environment. In the future, it is necessary to disclose the elements and relationships
of the four basic categories of the infological model of presenting the results of social profiling. A new model of fuzzy significance coefficient of social profile parameters is obtained, the difference of which is the possibility of taking into account both formalized objective and difficult-to-interpret subjective indicators for evaluating the initial information of the SP. The advantage of using
the significance criterion over the involvement of experts is the lower time spent on analyzing large amounts of data while maintaining the level of objectivity of the assessment. Consideration the diversity of the digital social environment is the next step.
References
Буслов П.В., Зоренко Д.С., Рябуха Ю.М Використання технологій OSINT для отримання пошукової інформації: практичний порадник. Х.: ІПЮК для СБ України, 2021. - 28 с.
Graph-basedintelligence-analysis [Електронний ре-сурс] – Режим доступу до ресурсу: https:// linkurio.us/blog/graph-based-intelligence-analy sis/.
Tiwari G. Chapter 1: NoSQL: What It Is and Why You Need it > Definition and Introduction, Professional NoSQL, Packt Publishing, 2011. - 384 p.
Бодров И. Сильные и слабые стороны NoSQL. Корпоративный журнал компании "Инфосистемы Джет" [Електронний ресурс] / И. Бодров – Режим доступу до ресурсу: http: //www.jetinfo.ru/stati/silnye-i-slabye-storony-nosql.
Robinson, I., Webber, J. & Eifrem, E. Graph Databases, O’Reilly Media, 2013. - 178 p.
Apache HBase ™ Reference Guide [Електронний ресурс] – Режим доступу до ресурсу: http: //hbase.apache.org/book.html#faq.
Introduction to Views // Apache CouchDB 2.2 Documentation. [Електронний ресурс] – Ре-жим доступу до ресурсу: http://docs.couchdb. org/en/stable/ddocs/views/intro.html.
Hows, D., Membrey, P., Plugge, E. & Hawkins, T., The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB, Third Edition, Apress, 2015. - 376 с.
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