Interdependence of dynamical signals and topology: Detecting the influential nodes in networks
Statistical Mechanics
2007-05-23 v1 Disordered Systems and Neural Networks
Abstract
By studying varies dynamical processes, including coupled maps, cellular automata and coupled differential equations, on five different kinds of known networks, we found a positive relation between signal correlation and node's degree. Thus a method of identifying influential nodes in dynamical systems is proposed, its validity is studied, and potential applications on real systems are discussed.
Cite
@article{arxiv.cond-mat/0505236,
title = {Interdependence of dynamical signals and topology: Detecting the influential nodes in networks},
author = {Lei Yang and Liang Huang and Yong Zhang and Kongqing Yang},
journal= {arXiv preprint arXiv:cond-mat/0505236},
year = {2007}
}
Comments
4 pages, 7 figures