Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
975097 | Physica A: Statistical Mechanics and its Applications | 2008 | 6 Pages |
Abstract
Empirical mode decomposition (EMD) method can decompose any complicated data into finite ‘intrinsic mode functions’ (IMFs). In this paper, we use EMD method to analyze and discuss the structural properties of complex networks. A random-walk method is used to collect the data series of network systems. Utilizing the EMD method, we decompose the obtained data into finite IMFs under different spatial scales. The analysis results show that EMD method is an effective tool for capturing the topological properties of network systems under different spatial scales, such as the modular structures of network systems and their energy densities.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
KePing Li, ZiYou Gao, XiaoMei Zhao,