Nucleation transitions in polycontextural networks toward consensus

Johannes Falk (), Edwin Eichler, Katja Windt and Marc-Thorsten Hütt
Additional contact information
Johannes Falk: Constructor University
Edwin Eichler: EICHLER Consulting AG
Katja Windt: SMS Group GmbH
Marc-Thorsten Hütt: Constructor University

The European Physical Journal B: Condensed Matter and Complex Systems, 2024, vol. 97, issue 11, 1-10

Abstract: Abstract Recently, we proposed polycontextural networks as a model of evolving systems of interacting beliefs. Here, we present an analysis of the phase transition as well as the scaling properties. The model contains interacting agents that strive for consensus, each with only subjective perception. Depending on a parameter that governs how responsive the agents are to changing their belief systems the model exhibits a phase transition that mediates between an active phase where the agents constantly change their beliefs and a frozen phase, where almost no changes appear. We observe the build-up of convention-aligned clusters only in the intermediate regime of diverging susceptibility. Here, we analyze in detail the behavior of polycontextural networks close to this transition. We provide an analytical estimate of the critical point and show that the scaling properties and the space–time structure of these clusters show self-similar behavior. Our results not only contribute to a better understanding of the emergence of consensus in systems of distributed beliefs but also show that polycontextural networks are models, motivated by social systems, where susceptibility—the sensitivity to change own beliefs—drives the growth of consensus clusters. Graphical abstract

Date: 2024
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DOI: 10.1140/epjb/s10051-024-00826-w

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