Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
975639 | Physica A: Statistical Mechanics and its Applications | 2007 | 10 Pages |
Abstract
In this paper, we propose a generalized deactivation model to characterize weighted networks. By introducing the special aging mechanism, the model can produce power-law distributions of degree, strength, and weight, as confirmed in many real networks. We also characterize the clustering and correlation properties of this class of networks. A scaling behavior of clustering coefficient C∼1/MC∼1/M is observed, where M refers to the number of active nodes. The generated network simultaneously exhibits hierarchical organization and disassortative degree correlation. All of these structural properties are confirmed by present empirical evidence.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Liang Tian, Da-Ning Shi, Chen-Ping Zhu,