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.

Original languageEnglish
Title of host publicationProceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019
EditorsSergey Kovalev, Andrey Sukhanov, Valery Tarassov, Vaclav Snasel
PublisherSpringer Nature
Pages206-213
Number of pages8
ISBN (Print)9783030500962
DOIs
StatePublished - 2020
Event4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 - Ostrava-Prague, Czech Republic
Duration: 2 Dec 20197 Dec 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1156 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019
Country/TerritoryCzech Republic
CityOstrava-Prague
Period2/12/197/12/19

    Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

    Research areas

  • Analysis of social graph of company employees, Frequencies, Linguistic values, Linguistic variables, Multi-pass social engineering attacks, Quantification, Social engineering

ID: 87279300