Develops a fractal-fractional model that enhances virus control strategies in scale-free networks, suggesting new approaches for effective interventions.
Key Points
The research aims to create a novel model to understand the dynamics of computer virus transmission in complex networks.
Developed a fractal-fractional model using the Caputo derivative
Incorporated memory effects and fractal geometry into simulations
Employed fixed-point theory for solution validation
Conducted stability analysis on model results
Performed numerical simulations to test interventions
Demonstrated the effectiveness of antivirus deployment in high-degree network hubs
Highlighted the unique solutions and stability of the proposed model
Showed how FF derivatives enhance the understanding of virus dynamics