Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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 language | English |
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Title of host publication | Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 |
Editors | Sergey Kovalev, Andrey Sukhanov, Valery Tarassov, Vaclav Snasel |
Publisher | Springer Nature |
Pages | 206-213 |
Number of pages | 8 |
ISBN (Print) | 9783030500962 |
DOIs | |
State | Published - 2020 |
Event | 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 - Ostrava-Prague, Czech Republic Duration: 2 Dec 2019 → 7 Dec 2019 |
Name | Advances in Intelligent Systems and Computing |
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Volume | 1156 AISC |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference | 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 |
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Country/Territory | Czech Republic |
City | Ostrava-Prague |
Period | 2/12/19 → 7/12/19 |
ID: 87279300