TY - JOUR
TI - Epidemic spread modeling in heterogeneous networks integrating Barabasi-Albert network and sirs model with methodological exploration and future prospects
AU - Luo Zhibin
AU - Li Haiyan
AU - Li Haibin
JN - Thermal Science
PY - 2026
VL - 30
IS - 2
SP - 899
EP - 906
PT - Article
AB - This paper integrates the Barabasi-Albert network model and the  Susceptible-infectious-recovered-susceptible (SIRS) model to explore  epidemic spread modeling in heterogeneous networks. Notwithstanding the  simplifying assumptions inherent in the model and the absence of empirical  verification, the proposed approach provides a theoretical foundation for  comprehending multi-scale epidemic transmission. The Barabasi-Albert  subnetworks and SIRS-based simulation method are described in detail, and  they can be used to create a realistic network environment for further  analysis. Subsequent research endeavors will center on the implementation  of this framework in relation to authentic data and the integration of more  intricate elements, such as human behavior and environmental factors.
DO - 10.2298/TSCI2602899L
ER -