Publication:
Prediction of Relation Based on Social Network Parsing

Дата
2021
Авторы
Nazarko, M.
Urkaeva, K.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
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Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2021 IEEE.The problem of searching a potential partner among the particular groups in dating applications is studied in this article. Moreover, the assessment of the current methods is carried out and the ways to improve their efficiency are presented. To begin with, there are two main disadvantages of the dating applications nowadays. The first one is imperfect algorithms of selection and the second one is the lack of "human touch". It means, that people with common friends in real life will communicate better in the Internet. Due to that, the major features of the research are searching among the common social circle and processing the data by parsing the social network of the potential partner. As a result, the program compares the personal information of every user and makes the pairs with more similar data. All information is processed by Linear neural network which was trained by results of social surveys.The search algorithm is implemented using specialized libraries for Python 3.8 and public methods of VK.API. Also, there are data and findings in the end of this article.
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Цитирование
Nazarko, M. Prediction of Relation Based on Social Network Parsing / Nazarko, M., Urkaeva, K. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 52-56. - 10.1109/ElConRus51938.2021.9396292
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396292
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85104726106&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800012
 https://openrepository.mephi.ru/handle/123456789/24014
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