Adaptive Coevolutionary Networks: A Review

TL;DR

This review explores recent advances in adaptive networks, highlighting their complex dynamics and self-organization driven by local rules across various fields.

Contribution

It synthesizes diverse studies on adaptive networks, revealing common themes and providing a unified perspective on their dynamics and topology.

Findings

Adaptive networks exhibit complex dynamics.

Robust topological self-organization is driven by local rules.

Studies across fields share common themes.

Abstract

Adaptive networks appear in many biological applications. They combine topological evolution of the network with dynamics in the network nodes. Recently, the dynamics of adaptive networks has been investigated in a number of parallel studies from different fields, ranging from genomics to game theory. Here we review these recent developments and show that they can be viewed from a unique angle. We demonstrate that all these studies are characterized by common themes, most prominently: complex dynamics and robust topological self-organization based on simple local rules.