Simulation Code and Numerical Data for “Hybrid Fractional-Order Adaptive-Network Dynamics with Glial–Pathology Feedback in Alzheimer's Disease”
Description
This dataset contains the simulation code, numerical outputs, and supporting files associated with the article “Hybrid Fractional-Order Adaptive-Network Dynamics with Glial–Pathology Feedback in Alzheimer's Disease.” The repository includes the deterministic directed-network simulation, the directed ring-rewiring network construction, baseline and ablation calculations, fractional-versus-integer comparisons, reduced symmetric parameter sweeps, fractional-order sensitivity analyses, finite-time trajectory-separation diagnostics, and the numerical data used to generate the quantitative figures. The accompanying Python scripts reproduce the main simulations and Figures 2 and 4–8, while the CSV, NPZ, protocol, and README files document the corresponding parameter settings, numerical procedures, and output data. The material is provided to support transparency, reproducibility, and independent verification of the mathematical and computational results reported in the manuscript.
Files
Institutions
- Ferdowsi University of MashhadRazavi Khorasan, Mashhad