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Journal Article

Asymptotic scaling describing signal propagation in complex networks


Ji,  Peng
External Organizations;

Lin,  Wei
External Organizations;


Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Ji, P., Lin, W., Kurths, J. (2020): Asymptotic scaling describing signal propagation in complex networks. - Nature Physics, 16, 11, 1082-1083.

Cite as: https://publications.pik-potsdam.de/pubman/item/item_24983
The complex dynamics emergent in diverse systems are influenced not only by the network topologies but also by the interplay of these topologies with the dynamical mechanisms of interaction between nodes. Hens et al.1 established a general framework, novelly linking the universal topological features to the spatiotemporal propagation of signals in complex networks and analytically capturing the topological role in predicting local responses through the asymptotic scaling relationship. Although using an appropriate form of the asymptotic scaling can reveal universal characteristics in complex systems, it is likely to lead to biased or even incorrect predictions if the scaling form is not accurately estimated. It is possible, however, to achieve substantial improvements in the predictive power by including a suitable prefactor in the scaling.