KFU. Card publication. Development of an Indicator of Social Success of Social Network Users to Improve Intelligent Management Systems

KAZAN
FEDERAL UNIVERSITY

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DEVELOPMENT OF AN INDICATOR OF SOCIAL SUCCESS OF SOCIAL NETWORK USERS TO IMPROVE INTELLIGENT MANAGEMENT SYSTEMS

Form of presentation

Articles in international journals and collections

Year of publication

2024

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Authors, employees of KFU

Vakhitov Galim Zaribzyanovich, author

Gafarov Fail Mubarakovich, author

Popov Leonid Mikhaylovich, author

Ustin Pavel Nikolaevich, author

Bibliographic description in the original language

Vakhitov, G., Ustin, P., Gafarov, F., Popov, L. (2024). Development of an Indicator of Social Success of Social Network Users to Improve Intelligent Management Systems. In: Aliev, R.A., et al. 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-031-53488-1_9

Annotation

12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 912

Keywords

social success, social graph, information-analytical system, data normalization, intelligent management system, social network

The name of the journal

12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 912

URL

https://link.springer.com/chapter/10.1007/978-3-031-53488-1_9

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=296164&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Vakhitov Galim Zaribzyanovich	ru_RU
dc.contributor.author	Gafarov Fail Mubarakovich	ru_RU
dc.contributor.author	Popov Leonid Mikhaylovich	ru_RU
dc.contributor.author	Ustin Pavel Nikolaevich	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Vakhitov, G., Ustin, P., Gafarov, F., Popov, L. (2024). Development of an Indicator of Social Success of Social Network Users to Improve Intelligent Management Systems. In: Aliev, R.A., et al. 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-031-53488-1_9	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=296164&p_lang=2	ru_RU
dc.description.abstract	12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 912	ru_RU
dc.description.abstract	Modern intelligent management systems allow you to effectively manage the personnel of the organization, taking into account the professional and personal qualities of workers. Earlier we created an information-analytical system, which allows using open quantitative and qualitative data of the user of social network “VKontakte”, which is an employee of the organization, with a high degree of reliability to predict his professional and academic success. Prediction is made with the help of a neural network trained on the normalized data. The values of such integral indicators as professional and academic success were calculated using weighting coefficients for the parameters on the basis of which these indicators are constructed. A more complete prediction of employee success made it necessary to develop a module of the information-analytical system for predicting the social success of an employee who is a user of a social network. A social graph was constructed for each user. Metric values of all the users of the social graph were normalized and presented in the form of grades. The set of metrics for constructing the integral index of social success was formed under the condition of minimizing their number. For this purpose, a correlation analysis of profile metrics and social graph of social network user was conducted. The degree of relevance of the data was assessed using such an indicator as the frequency of the user's presence in the social network.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	social success	ru_RU
dc.subject	social graph	ru_RU
dc.subject	information-analytical system	ru_RU
dc.subject	data normalization	ru_RU
dc.subject	intelligent management system	ru_RU
dc.subject	social network	ru_RU
dc.title	Development of an Indicator of Social Success of Social Network Users to Improve Intelligent Management Systems	ru_RU
dc.type	Articles in international journals and collections	ru_RU