A weighted scale-free network model with large-scale tunable clustering

作者：Pan Zao Feng; Wang Xiao Fan^*

来源：Acta Physica Sinica, 2006, 55(8): 4058-4064.

• scale-free network
• weighted network
• clustering coefficient

Based on the weighted scale-free network model proposed by Barrat, Barthelemy and Vespignani (BBV), we propose a generalized BBV (GBBV) model with large-scale tunable clustering coefficient. Theoretical analysis and numerical simulations show that the GBBV model retains many properties of the BBV model, such as power-law distributions of node degree, node strength and edge weight. However, the GBBV model overcomes the drawback of the BBV model that the clustering coefficient can only be tuned in a small interval, and therefore the GBBV model can be used for modelling networks with large clustering coefficients.

• 出版日期2006-8
• 单位上海交通大学