Epidemic spread modeling in heterogeneous networks integrating Barabasi-Albert network and sirs model with methodological exploration and future prospects

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.