Prediction and optimal control of a time-varying SAPDR rumor spreading model via PINNs

Key Points

• Optimal control strategies significantly enhance the spread of information, promoting better outcomes.
• Achieving a marked reduction in misinformation spread is possible through adaptive control methods.
• The approach relies on physics-informed neural networks (PINNs) to accurately simulate complex dynamics of rumor spread.
• Implications include potential applications in managing communication strategies during public emergencies.