Emergent self-organized complex network topology out of stability constraints

TL;DR

This paper presents a model where network topology emerges from stability constraints, explaining the natural occurrence of complex, scale-free networks in biological systems through self-organization.

Contribution

It introduces a novel stability-based growth model that naturally produces scale-free network topologies without external tuning.

Findings

Scale-free networks emerge from stability constraints

The model explains biological network complexity

Networks self-organize into complex topologies

Abstract

Although most networks in nature exhibit complex topology the origins of such complexity remains unclear. We introduce a model of a growing network of interacting agents in which each new agent's membership to the network is determined by the agent's effect on the network's global stability. It is shown that out of this stability constraint, scale free networks emerges in a self organized manner, offering an explanation for the ubiquity of complex topological properties observed in biological networks.