DeGroot-based opinion formation under a global steering mechanism
- URL: http://arxiv.org/abs/2210.12274v2
- Date: Thu, 2 Nov 2023 13:40:12 GMT
- Title: DeGroot-based opinion formation under a global steering mechanism
- Authors: Ivan Conjeaud and Philipp Lorenz-Spreen and Argyris Kalogeratos
- Abstract summary: We study the opinion formation process under the effect of a global steering mechanism (GSM), which aggregates the opinion-driven agent states at the network level.
We propose a new two-layer agent-based opinion formation model, called GSM-DeGroot, that captures the coupled dynamics between agent-to-agent local interactions.
- Score: 3.0215418312651057
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This paper investigates how interacting agents arrive to a consensus or a
polarized state. We study the opinion formation process under the effect of a
global steering mechanism (GSM), which aggregates the opinion-driven stochastic
agent states at the network level and feeds back to them a form of global
information. We also propose a new two-layer agent-based opinion formation
model, called GSM-DeGroot, that captures the coupled dynamics between
agent-to-agent local interactions and the GSM's steering effect. This way,
agents are subject to the effects of a DeGroot-like local opinion propagation,
as well as to a wide variety of possible aggregated information that can affect
their opinions, such as trending news feeds, press coverage, polls, elections,
etc. Contrary to the standard DeGroot model, our model allows polarization to
emerge by letting agents react to the global information in a stubborn
differential way. Moreover, the introduced stochastic agent states produce
event stream dynamics that can fit to real event data. We explore numerically
the model dynamics to find regimes of qualitatively different behavior. We also
challenge our model by fitting it to the dynamics of real topics that attracted
the public attention and were recorded on Twitter. Our experiments show that
the proposed model holds explanatory power, as it evidently captures real
opinion formation dynamics via a relatively small set of interpretable
parameters.
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