TY - JOUR
T1 - An SIS diffusion process with direct and indirect spreading on a hypergraph
AU - Cui, Shaoxuan
AU - Liu, Fangzhou
AU - Liang, Lidan
AU - Jardón-Kojakhmetov, Hildeberto
AU - Cao, Ming
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/7
Y1 - 2025/7
N2 - 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.
AB - 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.
KW - Discrete-time systems
KW - Epidemic processes
KW - Multi-layer network
KW - Stability
KW - Time-varying transition rates
UR - http://www.scopus.com/inward/record.url?scp=105002826588&partnerID=8YFLogxK
U2 - 10.1016/j.automatica.2025.112319
DO - 10.1016/j.automatica.2025.112319
M3 - Article
AN - SCOPUS:105002826588
SN - 0005-1098
VL - 177
JO - Automatica
JF - Automatica
M1 - 112319
ER -