Effects of the network structural properties on its controllability
Disordered Systems and Neural Networks
2007-08-09 v1
Abstract
In a recent paper, it has been suggested that the controllability of a diffusively coupled complex network, subject to localized feedback loops at some of its vertices, can be assessed by means of a Master Stability Function approach, where the network controllability is defined in terms of the spectral properties of an appropriate Laplacian matrix. Following that approach, a comparison study is reported here among different network topologies in terms of their controllability. The effects of heterogeneity in the degree distribution, as well as of degree correlation and community structure, are discussed.
Cite
@article{arxiv.0708.1097,
title = {Effects of the network structural properties on its controllability},
author = {Francesco Sorrentino},
journal= {arXiv preprint arXiv:0708.1097},
year = {2007}
}
Comments
Also available online at: http://link.aip.org/link/?CHA/17/033101