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 / 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.
Original language | English |
---|---|
Pages (from-to) | 611-620 |
Number of pages | 10 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 380 |
Early online date | 12 Mar 2007 |
DOIs | |
Publication status | Published - Jul 2007 |
User-Defined Keywords
- Aging
- Complex network
- Generalized deactivation model
- Weighted network