Paul models

Paul models are a type of mathematical framework used to describe how signals or influences propagate through networks, such as social, biological, or technological systems. They help us understand how information, behaviors, or effects spread over interconnected nodes or units, considering factors like connection strength and influence decay. By modeling these processes, Paul models enable predictions about the reach and speed of transmission, assisting in areas like epidemic control, marketing strategies, or understanding neural activity. In essence, they provide a structured way to analyze the dynamics of complex interconnected systems.