Multistage Random Growing Small-World Networks with Power-Law Degree Distribution

• 来源期刊: 中国物理快报（英文版）
• 年，卷（期）: 2006,（3）
• 页码范围: 746-749
• 页数: 4页
• 语种: 英文

摘要

We present a simple rule which could generate scale-free networks with very large clustering coefficient and very small average distance. These networks, called the multistage random growing networks (MRGNs), are constructed by a two-stage adding process for each new node. The analytic results of the power-law exponentγ = 3 and the clustering coefficient C = 0.81 are obtained, which agree with the simulation results approximately.