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A general framework for modeling opinion formation

Publication at Faculty of Mathematics and Physics, Faculty of Humanities |
2023

Abstract

The paper introduces a general agent-based framework for modeling opinion for- mation in a group of people. It is based on the assumption that agent's opinion and confidence about his/her opinion may shift after an interaction with another agent.

Such a shift depends on several variables. The work focuses on two of them - distance between opinions and distance between confidences of two interacting agents.

Opinion and confidence changes are described with diagrams called opinion shift map and confidence shift map in the model. Properties of the opinion formation model are analyzed via numerous computer simulations.

Advantages, limitations and future extension of the framework are discussed.