A growing network model with high hub connectivity and tunable clustering coefficient

Authors:
Yihjia Tsai;Ping-Nan Hsiao
Affiliations:
Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taipei, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taipei, Taiwan
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2007

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Abstract

The paper investigates a model for social network based on a growing network. The model we propose can fit the following two basic 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 for high hub connectivity which is a new concept in scale-free network. This study also provided an analysis of empirical data.