A System of Intellectual Analysis and Prediction of Reactions to News Based on Data From Telegram Channels

Kosukha, O. Yu.; Shevchuk, Iuliia

doi:10.17721/2706-9699.2022.2.07

Cited by 1 publication

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods are designed to adapt to different types of input data, whether the values are well known or unknown. The results of this study can contribute to solving the problem of forecasting and effective external control of the spread of the stress process in the population, similar to the application to processes of information spreading (Nakonechnyi, et. al., 2022).…”

Section: Resultsmentioning

confidence: 85%

Dynamics analysis and forecast of number of individuals with stress syndrome under uncertainties

Bekesiene,

Nakonechnyi,

Kapustian

et al. 2023

BKNUPhM

View full text Add to dashboard Cite

In this work, we propose a population dynamics model of the spread of stressful processes in several groups with different characteristics. Such a model is described by a system of nonlinear differential equations. Also, this model provides for the possibility of studying external influences, that is, the effectiveness of actions aimed at increasing the psychological stability of the population. The main objective of the study was to propose algorithms for finding guaranteed predictive estimates of the dynamics of such models. Two scenarios of this challenge are considered: for the case when there are available accurate data on the number of persons under stressful influence in each of the groups during a specific time interval; and for a similar case, but when there is observational data on the dynamics of such individuals. In both cases, we apply the methodology of finding guaranteed predictive estimations of the dynamics within these models. As an example, we consider the special case of the equation of population dynamics without external influence for one group of persons.

show abstract

Section: Resultsmentioning

confidence: 85%