An SIS diffusion process with direct and indirect spreading on a hypergraph

Conventional graphs capture pairwise interactions; by contrast, higher-order networks (hypergraphs, simplicial complexes) describe the interactions involving more parties, which have been rapidly applied to characterize a growing number of complex real-world systems. However, such dynamics evolving on higher-order networks modeled by hypergraphs require new mathematical tools to carry out rigorous analysis. In this paper, we study a Susceptible–Infected–Susceptible-type (SIS-type) diffusion process with both indirect and direct pathways on a directed hypergraph. We choose a polynomial interaction function to describe how several agents influence one another over a hyperedge. Then, we further extend the system and propose a bi-virus competing model on a directed hypergraph. For the single-virus case, we provide a comprehensive characterization of the healthy state and endemic equilibrium. For the bi-virus setting, we further give the analysis of the existence and stability of the healthy state, dominant endemic equilibria, and coexisting equilibria. All theoretical results are supported additionally by some numerical examples.

Authors

Publication Details

Journal
Automatica
Published
2025-04-21
DOI
https://doi.org/10.1016/j.automatica.2025.112319
Citations
3
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
5.64

Funders

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article

An SIS diffusion process with direct and indirect spreading on a hypergraph

Ming Cao, Hildeberto Jardón-Kojakhmetov, Shaoxuan Cui, Fangzhou Liu et al.
3 citations
Automatica
Mathematical and Theoretical Epidemiology and Ecology Models
5.64
article

An SIS diffusion process with direct and indirect spreading on a hypergraph

Ming Cao, Hildeberto Jardón-Kojakhmetov, Shaoxuan Cui, Fangzhou Liu, Lidan Liang
article en
3 citations

Abstract

Conventional graphs capture pairwise interactions; by contrast, higher-order networks (hypergraphs, simplicial complexes) describe the interactions involving more parties, which have been rapidly applied to characterize a growing number of complex real-world systems. However, such dynamics evolving on higher-order networks modeled by hypergraphs require new mathematical tools to carry out rigorous analysis. In this paper, we study a Susceptible–Infected–Susceptible-type (SIS-type) diffusion process with both indirect and direct pathways on a directed hypergraph. We choose a polynomial interaction function to describe how several agents influence one another over a hyperedge. Then, we further extend the system and propose a bi-virus competing model on a directed hypergraph. For the single-virus case, we provide a comprehensive characterization of the healthy state and endemic equilibrium. For the bi-virus setting, we further give the analysis of the existence and stability of the healthy state, dominant endemic equilibria, and coexisting equilibria. All theoretical results are supported additionally by some numerical examples.

AutomaticaVol. 177
National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, China Scholarship Council
Openalex Percentile: Top 5%
Mathematical and Theoretical Epidemiology and Ecology Models
5.64
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