Abstract
Abstract
Many networks describing complex systems are directed: the interactions between elements are not symmetric. Recent work has shown that these networks can display properties such as trophic coherence or non-normality, which in turn affect stability, percolation and other dynamical features. I show here that these topological properties have a common origin, in that the edges of directed networks can be aligned—or not—with a global direction. And I illustrate how this can lead to rich and unexpected dynamical behaviour even in the simplest of models.
Funder
Economic and Social Research Council
Engineering and Physical Sciences Research Council
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems
Cited by
18 articles.
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