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 languageEnglish
Title of host publicationProceedings of 2020 23rd International Conference on Soft Computing and Measurements, SCM 2020
EditorsS. Shaposhnikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-24
ISBN (Electronic)9781728196923
DOIs
StatePublished - May 2020
Event23rd International Conference on Soft Computing and Measurements, SCM 2020 - St. Petersburg, Russian Federation
Duration: 27 May 202029 May 2020

Conference

Conference23rd International Conference on Soft Computing and Measurements, SCM 2020
Country/TerritoryRussian Federation
CitySt. Petersburg
Period27/05/2029/05/20

    Scopus subject areas

  • Computational Mathematics
  • Control and Optimization
  • Computer Science Applications
  • Modelling and Simulation
  • Decision Sciences (miscellaneous)
  • Instrumentation

    Research areas

  • bayesian belief network, behavior intensity, episodes of behavior, posting

ID: 78033509