Emergence, self-organization and network efficiency in gigantic termite-nest-networks build using simple rules

TL;DR

This study analyzes the complex architecture of Nasutitermes ephratae termite nests, revealing their optimization of structural parameters and demonstrating that simple rules can generate such efficient networks through computational modeling.

Contribution

The paper introduces a simple algorithm that replicates the complex network architecture of termite nests, highlighting the role of simple rules in self-organization and network efficiency.

Findings

Termite nests optimize network parameters like minimal crossing and overlap.

The computer model reproduces key features of natural termite nest networks.

Simple rules can lead to complex and efficient architectural designs.

Abstract

Termites, like many social insects, build nests of complex architecture. These constructions have been proposed to optimize different structural features. Here we describe the nest network of the termite Nasutitermes ephratae, which is among the largest nest-network reported for termites and show that it optimizes diverse parameters defining the network architecture. The network structure avoids multiple crossing of galleries and minimizes the overlap of foraging territories. Thus, these termites are able to minimize the number of galleries they build, while maximizing the foraging area available at the nest mounds. We present a simple computer algorithm that reproduces the basics characteristics of this termite nest network, showing that simple rules can produce complex architectural designs efficiently.