RT Journal Article
SR Electronic
T1 Particularity of “Universal resilience patterns in complex networks”
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 056218
DO 10.1101/056218
A1 Arnoldi, Jean-Francois
A1 Haegeman, Bart
A1 Revilla, Tomas
A1 Loreau, Michel
YR 2016
UL http://biorxiv.org/content/early/2016/05/31/056218.abstract
AB In a recent Letter to Nature,Gao, Barzel and Barabási 1 describe an elegant procedure to reduce the dimensionality of complex dynamical networks, which they claim reveals “universal patterns of network resilience”, offering “ways to prevent the collapse of ecological, biological or economic systems, and guiding the design of technological systems resilient to both internal failures and environmental changes”. However, Gao et al restrict their attention to systems for which all interactions between nodes are mutualistic. Since antagonism is ubiquitous in natural and social networks, we clarify why this stringent hypothesis is necessary and what happens when it is relaxed. By analyzing broad classes of competitive and predator-prey networks we provide novel insights into the underlying mechanisms at work in Gao et al’s theory, and novel predictions for dynamical systems that are not purely mutualistic.