Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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.
Original language | English |
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Title of host publication | Proceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020 |
Editors | S. Shaposhnikov |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 22-24 |
ISBN (Electronic) | 9781728196923 |
DOIs | |
State | Published - May 2020 |
Event | 23rd International Conference on Soft Computing and Measurements, SCM 2020 - St. Petersburg, Russian Federation Duration: 27 May 2020 → 29 May 2020 |
Conference | 23rd International Conference on Soft Computing and Measurements, SCM 2020 |
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Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 27/05/20 → 29/05/20 |
ID: 78033509