LAPSE:2019.0474
Published Article
LAPSE:2019.0474
Population Balance Modeling and Opinion Dynamics—A Mutually Beneficial Liaison?
April 8, 2019
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.
Keywords
Deffuant-Weisbuch model, interdisciplinarity, mass transfer, opinion dynamics, population balance model, social sciences
Suggested Citation
Kuhn M, Kirse C, Briesen H. Population Balance Modeling and Opinion Dynamics—A Mutually Beneficial Liaison?. (2019). LAPSE:2019.0474
Author Affiliations
Kuhn M: Technical University of Munich, TUM School of Life Sciences Weihenstephan, Chair of Process Systems Engineering, D-85354 Freising, Germany [ORCID]
Kirse C: Technical University of Munich, TUM School of Life Sciences Weihenstephan, Chair of Process Systems Engineering, D-85354 Freising, Germany [ORCID]
Briesen H: Technical University of Munich, TUM School of Life Sciences Weihenstephan, Chair of Process Systems Engineering, D-85354 Freising, Germany
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Journal Name
Processes
Volume
6
Issue
9
Article Number
E164
Year
2018
Publication Date
2018-09-11
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr6090164, Publication Type: Journal Article
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LAPSE:2019.0474
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doi:10.3390/pr6090164
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Apr 8, 2019
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Apr 8, 2019
 
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Calvin Tsay
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