Load Distribution on Small-world Networks
Disordered Systems and Neural Networks
2007-05-23 v1
Abstract
Mapping a complex network to an atomic cluster, the Anderson localization theory is used to obtain the load distribution on a complex network. Based upon an intelligence-limited model we consider the load distribution and the congestion and cascade failures due to attacks and occasional damages. It is found that the eigenvector centrality (EC) is an effective measure to find key nodes for traffic flow processes. The influence of structure of a WS small-world network is investigated in detail.
Cite
@article{arxiv.cond-mat/0509354,
title = {Load Distribution on Small-world Networks},
author = {Huijie Yang and Fangcui Zhao and Tao Zhou and Wenxu Wang and Binghong Wang},
journal= {arXiv preprint arXiv:cond-mat/0509354},
year = {2007}
}
Comments
5 pages, 4 figures, submitted to PRL