EXPLORING MODELS FOR COMPLEX NETWORKS

Understanding complex systems presents a formidable challenge due to their inherent tangled nature. Traditional methods often fail to capture the emergent properties and dynamic interactions that characterize these systems. To effectively analyze and predict complex phenomena, researchers rely on conceptual frameworks that provide a structured lens