An evolving network model with consideration of node differences

In many real networks, the importance of the nodes is different from each other due to their different functions. Considering this reason, a new evolving network model is proposed in this paper, which introduces the node differences. By ranking the new nodes according to their importance, they are designed to connect different numbers of the existing nodes. The model analysis and simulation results show the proposed network yields a scale free and small world properties. Moreover, the new model has large cluster coefficient which is in conformity with the real networks. Therefore, it is suitable to model many real networks.