DOI

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.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019
РедакторыSergey Kovalev, Andrey Sukhanov, Valery Tarassov, Vaclav Snasel
ИздательSpringer Nature
Страницы206-213
Число страниц8
ISBN (печатное издание)9783030500962
DOI
СостояниеОпубликовано - 2020
Событие4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 - Ostrava-Prague, Чехия
Продолжительность: 2 дек 20197 дек 2019

Серия публикаций

НазваниеAdvances in Intelligent Systems and Computing
Том1156 AISC
ISSN (печатное издание)2194-5357
ISSN (электронное издание)2194-5365

конференция

конференция4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019
Страна/TерриторияЧехия
ГородOstrava-Prague
Период2/12/197/12/19

    Предметные области Scopus

  • Системотехника
  • Компьютерные науки (все)

ID: 87279300