2019-Zhu, Linhe, Hongyong Zhao, and Haiyan Wang - Partial differential equation modeling of rumor propagation in complex networks with higher order of organization.

By Brian Winkel

SIMIODE, Chardon OH USA

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Abstract

Zhu, Linhe, Hongyong Zhao, and Haiyan Wang. 2019. Partial differential equation modeling of rumor propagation in complex networks with higher order of organization.  Chaos: An Interdisciplinary Journal of Nonlinear Science. 29.

See  https://aip.scitation.org/doi/full/10.1063/1.5090268 .

ABSTRACT: Mathematical modeling is an important approach to research rumor propagation in online social networks. Most of prior work about rumor propagation either carried out empirical studies or focus on ordinary differential equation models with only consideration of temporal dimension; little attempt has been given on understanding rumor propagation over both temporal and spatial dimensions. This paper primarily addresses an issue related to how to define a spatial distance in online social networks by clustering and then proposes a partial differential equation model with a time delay to describing rumor propagation over both temporal and spatial dimensions. Theoretical analysis reveals the existence of equilibrium points, a priori bound of the solution, the local stability and the global stability of equilibrium points of our rumor propagation model. Finally, numerical simulations have analyzed the possible influence factors on rumor propagation and proved the validity of the theoretical analysis.

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Researchers should cite this work as follows:

  • Brian Winkel (2020), "2019-Zhu, Linhe, Hongyong Zhao, and Haiyan Wang - Partial differential equation modeling of rumor propagation in complex networks with higher order of organization.," https://simiode.org/resources/7320.

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