Dynamical networks are mathematical frameworks used to model complex systems where entities (nodes) interact and evolve over time. These networks are prevalent in fields like physics, biology, social sciences, and engineering, capturing phenomena such as disease spread, neural activity, or social influence. Unlike static networks, dynamical networks incorporate time-varying interactions, where nodes’ states or connections…