Abstract
In recent years, Complex Networks have attracted much attention in research field. As a typical model, there are Small-world network and Scale-free network. In this research, we propose a method to configure growing network based on similarities. The proposed method refers to Self-Organizing Map algorithm. It aims to realize the generation of networks which show characteristics of the real network in a natural way. Generated network by the proposed method shows small characteristics path length (L), large clustering coefficient (C) and the power-law degree distribution. In addition, the attack of the high degree nodes, the network generated by the proposed method had little effect, indicating that the network was robust as seen in real world.
