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20172026
most citedAn Influence Network Model to Study Discrepancies in Expressed and Private Opinions

143 citations · 880 across the 32 of their papers we have counts for

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Showing math.DSShow all

5 papers · 1 filter

math.DS2022★ 9 cited

Equilibria analysis of a networked bivirus epidemic model using Poincaré--Hopf and Manifold Theory

Brian D. O. Anderson, Mengbin Ye

This paper considers a deterministic Susceptible-Infected-Susceptible (SIS) networked bivirus epidemic model (termed the bivirus model for short), in which two competing viruses sp…

math.DS2022★ 29 cited

A mean-field analysis of a network behavioural-epidemic model

Kathinka Frieswijk, Lorenzo Zino, Mengbin Ye +2

The spread of an epidemic disease and the population's collective behavioural response are deeply intertwined, influencing each other's evolution. Such a co-evolution typically has…

math.DS2021★ 30 cited

Convergence and Equilibria Analysis of a Networked Bivirus Epidemic Model

Mengbin Ye, Brian D. O. Anderson, Ji Liu

This paper studies a networked bivirus model, in which two competing viruses spread across a network of interconnected populations; each node represents a population with a large n…

math.DS2021★ 4 cited

Competitive epidemic networks with multiple survival-of-the-fittest outcomes

Mengbin Ye, Brian D. O. Anderson, Axel Janson +2

We use a deterministic model to study two competing viruses spreading over a two-layer network in the Susceptible--Infected--Susceptible (SIS) framework, and address a central prob…

math.DS2019★ 34 cited

Applications of the Poincaré--Hopf Theorem: Epidemic Models and Lotka--Volterra Systems

Mengbin Ye, Ji Liu, Brian D. O. Anderson +1

This paper focuses on the equilibria and their regions of attraction for continuous-time nonlinear dynamical systems. The classical Poincaré--Hopf Theorem from differential topolog…