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Journal Article

Edge anisotropy and the geometric perspective on flow networks


Molkenthin,  Nora
Max Planck Research Group Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Molkenthin, N., Kutza, H., Tupikina, L., Marwan, N., Donges, J. F., Feudel, U., et al. (2017). Edge anisotropy and the geometric perspective on flow networks. Chaos, 27(3): 035802. doi:10.1063/1.4971785.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-0AED-3
Spatial networks have recently attracted great interest in various fields of research. While the traditional network-theoretic viewpoint is commonly restricted to their topological characteristics (often disregarding the existing spatial constraints), this work takes a geometric perspective, which considers vertices and edges as objects in a metric space and quantifies the corresponding spatial distribution and alignment. For this purpose, we introduce the concept of edge anisotropy and define a class of measures characterizing the spatial directedness of connections. Specifically, we demonstrate that the local anisotropy of edges incident to a given vertex provides useful information about the local geometry of geophysical flows based on networks constructed from spatiotemporal data, which is complementary to topological characteristics of the same flow networks. Taken both structural and geometric viewpoints together can thus assist the identification of underlying flow structures from observations of scalar variables. Published by AIP Publishing.