Abstract

In this contribution, we aim to show that opinion dynamics and population balance modeling can benefit from an exchange of problems and methods. To support this claim, the Deffuant-Weisbuch model, a classical approach in opinion dynamics, is formulated as a population balance model. This new formulation is subsequently analyzed in terms of moment equations, and conservation of the first and second order moment is shown. Exemplary results obtained by our formulation are presented and agreement with the original model is found. In addition, the influence of the initial distribution is studied. Subsequently, the Deffuant-Weisbuch model is transferred to engineering and interpreted as mass transfer between liquid droplets which results in a more flexible formulation compared to alternatives from the literature. On the one hand, it is concluded that the transfer of opinion-dynamics problems to the domain of population balance modeling offers some interesting insights as well as stimulating challenges for the population-balance community. On the other hand, it is inferred that population-balance methods can contribute to the solution of problems in opinion dynamics. In a broad outlook, some further possibilities of how the two fields can possibly benefit from a close interaction are outlined.

Highlights

  • Population balance modeling (PBM) is a powerful tool to study the dynamics of property-distributed systems

  • Some exemplary results obtained by our population balance equation (PBE) formulation of the DW model are shown

  • We presented opinion dynamics as an interesting application for the use of PBM methods

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Summary

Introduction

Population balance modeling (PBM) is a powerful tool to study the dynamics of property-distributed systems. Even though the range of applications is expanding, so far, PBM is mainly used in the engineering and natural sciences to describe particulate systems. There have been six “International Conferences on Population Balance Modeling” and four special issues, including this very issue [4,5,6]. Distributed properties subject to temporal and spatial variations are limited to the engineering and natural sciences; they ubiquitous in the social domain. Examples of such properties are age and income. Another distributed property of interest is individual opinion

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