Multitopic Belief Formation Through Bifurcations Over Signed Social Networks
In this article, we propose and analyze a nonlinear dynamic model of continuous-time multidimensional belief formation over signed social networks. Our model accounts for the effects of a structured belief system, self-appraisal, internal biases, and various sources of cognitive dissonance posited by recent theories in social psychology. We prove that agents become opinionated as a consequence of a bifurcation. We analyze how the balance of social network effects in the model controls the nature of the bifurcation and, therefore, the belief-forming limit-set solutions. Our analysis provides constructive conditions on how multistable network belief equilibria and belief oscillations emerging at a belief-forming bifurcation depend on the communication network graph and belief system network graph. Our model and analysis provide new theoretical insights on the dynamics of social systems and a new principled framework for designing decentralized decision-making on engineered networks in the presence of structured relationships among alternatives.
Authors
- Naomi Ehrich Leonard (ORCID: https://orcid.org/0000-0002-5328-3871)
- Alessio Franci (ORCID: https://orcid.org/0000-0002-3911-625X)
- Anastasia Bizyaeva (ORCID: https://orcid.org/0000-0003-0728-9655)
Institutions
- University of Liège (BE)
- Princeton University (US)
- University of Washington (US)
- Cornell University (US)
- Dynamic Systems (United States) (US)
Publication Details
- Journal
- IEEE Transactions on Automatic Control
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1109/tac.2025.3538979
- Citations
- 9
- Primary Topic
- Opinion Dynamics and Social Influence
- Type
- article
- Field-Weighted Citation Impact
- 7.94
Funders
- National Science Foundation
- Office of Naval Research
- Army Research Office