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An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. / Khlobystova, A.; Korepanova, A.; Tulupyeva, T.

Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. ed. / Sergey Kovalev; Andrey Sukhanov; Valery Tarassov; Vaclav Snasel. Springer Nature, 2020. p. 206-213 (Advances in Intelligent Systems and Computing; Vol. 1156 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Khlobystova, A, Korepanova, A & Tulupyeva, T 2020, An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. in S Kovalev, A Sukhanov, V Tarassov & V Snasel (eds), Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. Advances in Intelligent Systems and Computing, vol. 1156 AISC, Springer Nature, pp. 206-213, 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019, Ostrava-Prague, Czech Republic, 2/12/19. https://doi.org/10.1007/978-3-030-50097-9_21

APA

Khlobystova, A., Korepanova, A., & Tulupyeva, T. (2020). An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. In S. Kovalev, A. Sukhanov, V. Tarassov, & V. Snasel (Eds.), Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 (pp. 206-213). (Advances in Intelligent Systems and Computing; Vol. 1156 AISC). Springer Nature. https://doi.org/10.1007/978-3-030-50097-9_21

Vancouver

Khlobystova A, Korepanova A, Tulupyeva T. An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. In Kovalev S, Sukhanov A, Tarassov V, Snasel V, editors, Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. Springer Nature. 2020. p. 206-213. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-50097-9_21

Author

Khlobystova, A. ; Korepanova, A. ; Tulupyeva, T. / An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations. Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. editor / Sergey Kovalev ; Andrey Sukhanov ; Valery Tarassov ; Vaclav Snasel. Springer Nature, 2020. pp. 206-213 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{ff176ebf7e7a4934b28149af65a10666,
title = "An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations",
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{\textquoteright} relationships on the execution of requests, also finds its use in building social graph of the organization{\textquoteright}s employees and indirectly in obtaining estimates of the success of multi-pass Social engineering attacks propagation.",
keywords = "Analysis of social graph of company employees, Frequencies, Linguistic values, Linguistic variables, Multi-pass social engineering attacks, Quantification, Social engineering",
author = "A. Khlobystova and A. Korepanova and T. Tulupyeva",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 ; Conference date: 02-12-2019 Through 07-12-2019",
year = "2020",
doi = "10.1007/978-3-030-50097-9_21",
language = "English",
isbn = "9783030500962",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "206--213",
editor = "Sergey Kovalev and Andrey Sukhanov and Valery Tarassov and Vaclav Snasel",
booktitle = "Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019",
address = "Germany",

}

RIS

TY - GEN

T1 - An Approach to Quantification of Relationship Types Between Users Based on the Frequency of Combinations of Non-numeric Evaluations

AU - Khlobystova, A.

AU - Korepanova, A.

AU - Tulupyeva, T.

N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Analysis of social graph of company employees

KW - Frequencies

KW - Linguistic values

KW - Linguistic variables

KW - Multi-pass social engineering attacks

KW - Quantification

KW - Social engineering

UR - http://www.scopus.com/inward/record.url?scp=85088207320&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-50097-9_21

DO - 10.1007/978-3-030-50097-9_21

M3 - Conference contribution

AN - SCOPUS:85088207320

SN - 9783030500962

T3 - Advances in Intelligent Systems and Computing

SP - 206

EP - 213

BT - Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019

A2 - Kovalev, Sergey

A2 - Sukhanov, Andrey

A2 - Tarassov, Valery

A2 - Snasel, Vaclav

PB - Springer Nature

T2 - 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019

Y2 - 2 December 2019 through 7 December 2019

ER -

ID: 87279300