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Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network. / Toropova, Aleksandra V.; Tulupyeva, Tatiana V.

Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020. ред. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 22-24 9198795.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Toropova, AV & Tulupyeva, TV 2020, Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network. в S Shaposhnikov (ред.), Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020., 9198795, Institute of Electrical and Electronics Engineers Inc., стр. 22-24, 23rd International Conference on Soft Computing and Measurements, SCM 2020, St. Petersburg, Российская Федерация, 27/05/20. https://doi.org/10.1109/SCM50615.2020.9198795

APA

Toropova, A. V., & Tulupyeva, T. V. (2020). Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network. в S. Shaposhnikov (Ред.), Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020 (стр. 22-24). [9198795] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCM50615.2020.9198795

Vancouver

Toropova AV, Tulupyeva TV. Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network. в Shaposhnikov S, Редактор, Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020. Institute of Electrical and Electronics Engineers Inc. 2020. стр. 22-24. 9198795 https://doi.org/10.1109/SCM50615.2020.9198795

Author

Toropova, Aleksandra V. ; Tulupyeva, Tatiana V. / Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network. Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020. Редактор / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 22-24

BibTeX

@inproceedings{126742fc069a40fe9e4fbf88002632db,
title = "Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network",
abstract = "Intensity is a very important characteristic of human behavior. Knowing behavior intensity you can make predictions about behavior, which can be used in a number of areas: sociology, economics etc. We present a Bayesian belief network estimating the behavior intensity based on data about last episodes of behavior. We consider the work of this model on the data about posting activity in the social network Vkontakte. The intensity rate predicted by the model and the actual intensity of users posting are compared.",
keywords = "bayesian belief network, behavior intensity, episodes of behavior, posting",
author = "Toropova, {Aleksandra V.} and Tulupyeva, {Tatiana V.}",
note = "A. V. Toropova and T. V. Tulupyeva, {"}Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network,{"} 2020 XXIII International Conference on Soft Computing and Measurements (SCM), 2020, pp. 22-24, doi: 10.1109/SCM50615.2020.9198795.; 23rd International Conference on Soft Computing and Measurements, SCM 2020 ; Conference date: 27-05-2020 Through 29-05-2020",
year = "2020",
month = may,
doi = "10.1109/SCM50615.2020.9198795",
language = "English",
pages = "22--24",
editor = "S. Shaposhnikov",
booktitle = "Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network

AU - Toropova, Aleksandra V.

AU - Tulupyeva, Tatiana V.

N1 - A. V. Toropova and T. V. Tulupyeva, "Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network," 2020 XXIII International Conference on Soft Computing and Measurements (SCM), 2020, pp. 22-24, doi: 10.1109/SCM50615.2020.9198795.

PY - 2020/5

Y1 - 2020/5

N2 - Intensity is a very important characteristic of human behavior. Knowing behavior intensity you can make predictions about behavior, which can be used in a number of areas: sociology, economics etc. We present a Bayesian belief network estimating the behavior intensity based on data about last episodes of behavior. We consider the work of this model on the data about posting activity in the social network Vkontakte. The intensity rate predicted by the model and the actual intensity of users posting are compared.

AB - Intensity is a very important characteristic of human behavior. Knowing behavior intensity you can make predictions about behavior, which can be used in a number of areas: sociology, economics etc. We present a Bayesian belief network estimating the behavior intensity based on data about last episodes of behavior. We consider the work of this model on the data about posting activity in the social network Vkontakte. The intensity rate predicted by the model and the actual intensity of users posting are compared.

KW - bayesian belief network

KW - behavior intensity

KW - episodes of behavior

KW - posting

UR - http://www.scopus.com/inward/record.url?scp=85093870379&partnerID=8YFLogxK

U2 - 10.1109/SCM50615.2020.9198795

DO - 10.1109/SCM50615.2020.9198795

M3 - Conference contribution

AN - SCOPUS:85093870379

SP - 22

EP - 24

BT - Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020

A2 - Shaposhnikov, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd International Conference on Soft Computing and Measurements, SCM 2020

Y2 - 27 May 2020 through 29 May 2020

ER -

ID: 78033509