Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks
Chaotic Dynamics
2007-05-23 v1 Statistical Mechanics
Adaptation and Self-Organizing Systems
Abstract
We consider systems that are well modelled as a networks that evolve in time, which we call {\it Moving Neighborhood Networks}. These models are relevant in studying cooperative behavior of swarms and other phenomena where emergent interactions arise from ad hoc networks. In a natural way, the time-averaged degree distribution gives rise to a scale-free network. Simulations show that although the network may have many noncommunicating components, the time-averaged communication is sufficient to yield robust synchronization of chaotic oscillators.
Keywords
Cite
@article{arxiv.nlin/0307010,
title = {Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks},
author = {Joseph D. Skufca and Erik M. Bollt},
journal= {arXiv preprint arXiv:nlin/0307010},
year = {2007}
}