In a new study, scientists have investigated the pervasive low-rank hypothesis in complex systems, demonstrating that despite high-dimensional nonlinear dynamics, many real networks exhibit rapidly decreasing singular values, supporting the feasibility of effective dimension reduction for understanding and modeling complex system behaviors.