A novel evolving scale-free model with tunable attractiveness

被引:0
作者
刘绚 [1 ]
刘天琪 [1 ]
王昊 [2 ]
李兴源 [1 ]
机构
[1] School of Electrical Engineering and Automation,Sichuan University
[2] College of Electronics and Information Engineering,Sichuan University
关键词
scale-free; tunable attractiveness; degree distribution; clustering coefficient;
D O I
暂无
中图分类号
O157.5 [图论];
学科分类号
070104 ;
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.
引用
收藏
页码:39 / 43
页数:5
相关论文
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    Kinney, R
    Crucitti, P
    Albert, R
    Latora, V
    [J]. EUROPEAN PHYSICAL JOURNAL B, 2005, 46 (01) : 101 - 107
  • [2] Tao S H,Yang C,Li H N,Zhang Y. Computer Engineering . 2009
  • [3] Chen Fei,Chen Z Q,Yuan Z Z. Chinese Physics . 2007