Weighted Scale-free Network with Widely Weighted Dynamics
This brief paper formulates and studies a simple yet general weighted evolving network model.In contrast with the well-known Barrat-Barth ′e lemy-Vespignani (BBV)locally weighted evolving model,this model can allow the ows to be widely updated.We provide both analysis and simulation of the network characteristics for such weighted model,and all the theoretical predictions are successfully contrasted with numerical simulations.It is shown that this model recovers three power-law distributions for the node degrees,connection weights and node strengths,respectively.Also,the droop-head and heavy-tail properties of these distributions,which are observed in many real-world networks,can be re ected by the present model. Furthermore,it turns out that the strength highly correlates with the degree and displays a scale-free behavior as con rmed by empirical evidence.
MU Junfen SUN Hexu PAN Jiaping ZHOU Jin
School of Electrical Engineering and Automation,School of Science,Hebei University of Technology,Tia Graduate School,Hebei University of Technology,Tianjin 300130 ,P.R.China School of Electrical Engineering and Automation,School of Science,Hebei University of Technology,Tia
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）