Cyclic structure induced by load fluctuations in adaptive transportation networks

TL;DR

This paper investigates how load fluctuations induce cyclic structures in adaptive transportation networks, revealing bifurcations and complex feedback mechanisms that influence network stability and topology.

Contribution

It demonstrates that load fluctuations can lead to the emergence of stable cycles in adaptive tree-like networks, advancing understanding of network dynamics under realistic fluctuating conditions.

Findings

Cycles emerge through bifurcations at critical fluctuation amplitudes

Cycles can appear near leaves or the root depending on parameters

Network topology and dynamics interaction creates complex feedback mechanisms

Abstract

Transport networks are crucial to the functioning of natural systems and technological infrastructures. For flow networks in many scenarios, such as rivers or blood vessels, acyclic networks (i.e., trees) are optimal structures when assuming time-independent in- and outflow. Dropping this assumption, fluctuations of net flow at source and/or sink nodes may render the pure tree solutions unstable even under a simple local adaptation rule for conductances. Here, we consider tree-like networks under the influence of spatially heterogeneous distribution of fluctuations, where the root of the tree is supplied by a constant source and the leaves at the bottom are equipped with sinks with fluctuating loads. We find that the network divides into two regions characterized by tree-like motifs and stable cycles. The cycles emerge through transcritical bifurcations at a critical amplitude of fluctuation. For a simple network structure, depending on parameters defining the local adaptation, cycles first appear close to the leaves (or root) and then appear closer towards the root (or the leaves). The interaction between topology and dynamics gives rise to complex feedback mechanisms with many open questions in the theory of network dynamics. A general understanding of the dynamics in adaptive transport networks is essential in the study of mammalian vasculature, and adaptive transport networks may find technological applications in self-organizing piping systems.