Dimensionality reduction is a popular strategy for studying complex dynamical systems, especially high-dimensional networked systems. Its goal to discover more compact version of the system that retains almost important characteristics original and offers insights into inner functioning as well long-term behavior. However, because interaction structures, parameter configurations, initial condit...