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Exploring the adaptive voter model dynamics with a mathematical triple jump

Silk, H and Demirel, G and Homer, M and Gross, T (2014) 'Exploring the adaptive voter model dynamics with a mathematical triple jump.' New Journal of Physics, 16. ISSN 1367-2630

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© 2014 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft. Progress in theoretical physics is often made by the investigation of toy models, the model organisms of physics, which provide benchmarks for new methodologies. For complex systems, one such model is the adaptive voter model. Despite its simplicity, the model is hard to analyze. Only inaccurate results are obtained from well-established approximation schemes that work well on closely-related models. We use the adaptive voter model to illustrate a new approach that combines (a) the use of a heterogeneous moment expansion to approximate the network model by an infinite system of ordinary differential equations (ODEs), (b) generating functions to map the ODE system to a two-dimensional partial differential equation (PDE), and (c) solution of this partial differential equation by the tools of PDE-theory. Beyond the adaptive voter models, the proposed approach establishes a connection between network science and the theory of PDEs and is widely applicable to the dynamics of networks with discrete node-states.

Item Type: Article
Subjects: Q Science > QC Physics
Divisions: Faculty of Social Sciences > Essex Business School > Management Science and Entrepreneurship Group
Depositing User: Jim Jamieson
Date Deposited: 17 Nov 2016 15:25
Last Modified: 22 Jan 2019 22:15

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