Active transport and cluster formation on 2D networks
Philip Greulich, Ludger Santen

TL;DR
This paper presents a model for active transport on 2D inhomogeneous networks, revealing scale-free clustering behavior and comparing it with other aggregation models, highlighting the conditions for finite or infinite cluster sizes.
Contribution
It introduces a new model for active transport on inhomogeneous networks and analyzes cluster formation, contrasting it with existing models like diffusion limited aggregation.
Findings
Cluster sizes follow an algebraic decay, indicating scale-free behavior.
Clusters have finite size scales under certain conditions.
Comparison shows different aggregation behaviors depending on model parameters.
Abstract
We introduce a model for active transport on inhomogeneous networks embedded in a diffusive environment and investigate the formation of particle clusters. In the presence of a hard-core interaction, cluster sizes exhibit an algebraically decaying distribution in a large parameter regime, indicating the existence of clusters on all scales. The results are compared with a diffusion limited aggregation model and active transport on a regular network. For both models we observe aggregation of particles to clusters which are characterized by a finite size-scale if the relevant time-scales and particle densities are considered.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Traffic control and management
