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3301. Epidemic model of a misinformation spread?
Invited abstract in session WB-35: Stochastic optimization: theory and applications, stream Stochastic, Robust and Distributionally Robust Optimization.
Wednesday, 10:30-12:00Room: 44 (building: 303A)
Authors (first author is the speaker)
| 1. | Martin Smid
|
| Faculty of Art, Charles Unifersity |
Abstract
We introduce a mathematical framework for modeling the dissemination of an undesirable agent, encompassing both biological pathogens and misinformation. This framework is articulated as a heterogeneous, partially observable vector auto-regression (VAR) model. In epidemiological terminology, it can be described as a stochastic SEIR-like model.
The utility of a closely related model has been previously validated through its application in analyzing and formulating policy recommendations during the COVID-19 pandemic. In this study, we elaborate on the modifications necessary for adapting this model to accurately represent the dynamics of undesirable content propagation, with empirical validation provided through analysis of data derived from social networks.
Keywords
- Health Care
- Stochastic Models
Status: accepted
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