Phys.org  August 29, 2022 An international team of researchers (Canada, USA – Northeastern University, Rensselaer Polytechnique Institute, Israel) has developed a general dimension-reduction approach that simultaneously compresses the natural control and state parameters of high-dimensional complex systems and introduces a scaling factor for recovery rates. Their theoretical framework places various systems with entirely different dynamical parameters, network structure and state perturbations on the same scale. More importantly, it compares distances to tipping points across different systems based on data on abundance and topology. By applying the method to 54 real-world mutualistic networks, their analytical results showed the network characteristics and […]