A novel evolving scale-free model with tunable attractiveness  

作　　者：刘绚 刘天琪 王昊 李兴源 

机构地区：[1]School of Electrical Engineering and Automation,Sichuan University [2]College of Electronics and Information Engineering,Sichuan University

出　　处：《Chinese Physics B》2010年第7期35-39,共5页中国物理B（英文版）

基　　金：supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2008BAA13B01)

摘　　要：In this paper, a new evolving model with tunable attractiveness is presented. Based on the Barabasi-Albert （BA） model, we introduce the attractiveness of node which can change with node degree. Using the mean-field theory, we obtain the analytical expression of power-law degree distribution with the exponent γ∈ （3, ∞）. The new model is more homogeneous and has a lower clustering coefficient and bigger average path length than the BA model.In this paper, a new evolving model with tunable attractiveness is presented. Based on the Barabasi-Albert （BA） model, we introduce the attractiveness of node which can change with node degree. Using the mean-field theory, we obtain the analytical expression of power-law degree distribution with the exponent γ∈ （3, ∞）. The new model is more homogeneous and has a lower clustering coefficient and bigger average path length than the BA model.

关 键 词：SCALE-FREE tunable attractiveness degree distribution clustering coefficient 

分 类 号：O157.5[理学—数学]