Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7378324 | Physica A: Statistical Mechanics and its Applications | 2016 | 5 Pages |
Abstract
A method based on the breadth-first search tree is proposed in this paper to characterize the hierarchical structure of network. In this method, a similarity coefficient is defined to quantitatively distinguish networks, and quantitatively measure the topology stability of the network generated by a model. The applications of the method are discussed in ER random network, WS small-world network and BA scale-free network. The method will be helpful for deeply describing network topology and provide a starting point for researching the topology similarity and isomorphism of networks.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Bin Zhou, Zhe He, Nianxin Wang, Bing-Hong Wang,