Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
979037 | Physica A: Statistical Mechanics and its Applications | 2010 | 10 Pages |
Abstract
In this paper, the important issue of Laplacian eigenvalue distributions is investigated through theory-guided extensive numerical simulations, for four typical complex network models, namely, the ER random-graph networks, WS and NW small-world networks, and BA scale-free networks. It is found that these four types of complex networks share some common features, particularly similarities between the Laplacian eigenvalue distributions and the node degree distributions.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Choujun Zhan, Guanrong Chen, Lam F. Yeung,