Predicting collapse of adaptive networked systems without knowing the network.

ABSTRACT: The collapse of ecosystems, the extinction of species, and the breakdown of economic and financial networks usually hinges on topological properties of the underlying networks, such as the existence of self-sustaining (or autocatalytic) feedback cycles. Such collapses can be understood as a massive change of network topology, usually accompanied by the extinction of a macroscopic fraction of nodes and links. It is often related to the breakdown of the last relevant directed catalytic cycle within a dynamical system. Without detailed structural information it seems impossible to state, whether a network is robust or if it is likely to collapse in the near future. Here we show that it is nevertheless possible to predict collapse for a large class of systems that are governed by a linear (or

SUBMITTER: Horstmeyer L 

PROVIDER: S-EPMC6985233 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature