Abstract
The goal of this article is to propose an approach to linguistic values quantification and to consider an example of its application to the relationship types between users in the popular social network in Russia “VK”. To achieve this aim, we used the results of a sociological survey, by which were found the frequency of the order, then the probability theory apparatus was used. This research can be useful in studying of the influence of the types of users’ relationships on the execution of requests, also finds its use in building social graph of the organization’s employees and indirectly in obtaining estimates of the success of multi-pass Social engineering attacks propagation.
The research was carried out in the framework of the project on state assignment SPIIRAS № 0073-2019-0003, with the financial support of the RFBR (project №18-01-00626, № 18-37-00323).
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Khlobystova, A., Korepanova, A., Maksimov, A., Tulupyeva, T. (2020). An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_21
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