Why do Opinions and Actions Diverge? A Dynamic Framework to Explore the Impact of Subjective Norms

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Main Authors: Song, Chen, Cvetkovic, Vladimir, Su, Rong
Format: Preprint
Published: 2025
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author Song, Chen
Cvetkovic, Vladimir
Su, Rong
author_facet Song, Chen
Cvetkovic, Vladimir
Su, Rong
contents Socio-psychological studies have identified a common phenomenon where an individual's public actions do not necessarily coincide with their private opinions, yet most existing models fail to capture the dynamic interplay between these two aspects. To bridge this gap, we propose a novel agent-based modeling framework that integrates opinion dynamics with a decision-making mechanism. More precisely, our framework generalizes the classical Hegselmann-Krause model by combining it with a utility maximization problem. Preliminary results from our model demonstrate that the degree of opinion-action divergence within a population can be effectively controlled by adjusting two key parameters that reflect agents' personality traits, while the presence of social network amplifies the divergence. In addition, we study the social diffusion process by introducing a small number of committed agents into the model, and identify three key outcomes: adoption of innovation, rejection of innovation, and the enforcement of unpopular norms, consistent with findings in socio-psychological literature. The strong relevance of the results to real-world phenomena highlights our framework's potential for future applications in understanding and predicting complex social behaviors.
format Preprint
id arxiv_https___arxiv_org_abs_2503_17768
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Why do Opinions and Actions Diverge? A Dynamic Framework to Explore the Impact of Subjective Norms
Song, Chen
Cvetkovic, Vladimir
Su, Rong
Social and Information Networks
Physics and Society
Socio-psychological studies have identified a common phenomenon where an individual's public actions do not necessarily coincide with their private opinions, yet most existing models fail to capture the dynamic interplay between these two aspects. To bridge this gap, we propose a novel agent-based modeling framework that integrates opinion dynamics with a decision-making mechanism. More precisely, our framework generalizes the classical Hegselmann-Krause model by combining it with a utility maximization problem. Preliminary results from our model demonstrate that the degree of opinion-action divergence within a population can be effectively controlled by adjusting two key parameters that reflect agents' personality traits, while the presence of social network amplifies the divergence. In addition, we study the social diffusion process by introducing a small number of committed agents into the model, and identify three key outcomes: adoption of innovation, rejection of innovation, and the enforcement of unpopular norms, consistent with findings in socio-psychological literature. The strong relevance of the results to real-world phenomena highlights our framework's potential for future applications in understanding and predicting complex social behaviors.
title Why do Opinions and Actions Diverge? A Dynamic Framework to Explore the Impact of Subjective Norms
topic Social and Information Networks
Physics and Society
url https://arxiv.org/abs/2503.17768