Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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 оригинала | английский |
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Название основной публикации | Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 |
Редакторы | Sergey Kovalev, Andrey Sukhanov, Valery Tarassov, Vaclav Snasel |
Издатель | Springer Nature |
Страницы | 206-213 |
Число страниц | 8 |
ISBN (печатное издание) | 9783030500962 |
DOI | |
Состояние | Опубликовано - 2020 |
Событие | 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 - Ostrava-Prague, Чехия Продолжительность: 2 дек 2019 → 7 дек 2019 |
Название | Advances in Intelligent Systems and Computing |
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Том | 1156 AISC |
ISSN (печатное издание) | 2194-5357 |
ISSN (электронное издание) | 2194-5365 |
конференция | 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 |
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Страна/Tерритория | Чехия |
Город | Ostrava-Prague |
Период | 2/12/19 → 7/12/19 |
ID: 87279300