A Growing Network Model with High Hub Connectivity and Tunable Clustering Coefficient

Abstract

The paper suggests a model for social network based on a growing network. The model we propose can fit the following two properties: (1) 'scale-free property' which has power law degree distribution, and (2) 'small-world property' which has high clustering coefficient. In addition, the model is modified to match the s-metric property. The s-metric property describes the level of high degree nodes connected to other ones, which was proposed in 2005.