A Weighted Network Model with Simultaneous Change of Node and Edge

摘要：

　　In this paper,we propose a new weighted evolving complex network model.In this model,besides a new nodes introduction to the networks and new edges adding between this new node and old nodes,there are also new edges adding between old vertices,existing edges removal,and old sites deletion.Using mean field theory,we establish the evolution equation of strengths and weights.And we performed numerical simulations of networks generated by using the present model.The simulation results show that this network model yields three power-law distributions for the node degrees,connection weights and node strengths respectively,as confirmed in many real networks; and the strength highly correlates with the degree and displays scale-free property,which is in consistence with empirical evidence.

关键词： Complex Network Weighted Evolving Network Power-law Distributions Scale-free Network

作者: Junfen Mu Hexu Sun Jinhuan Wang Shurui Fan Jiaping Pan

作者单位: School of Electrical Engineering and Automation,School of Science,Hebei University of Technology,Tia School of Electrical Engineering and Automation,School of Science,Hebei University of Technology,Tia School of Information Engineering,Hebei University of Technology,Tianjin 300130,P. R. China Graduate School,Hebei University of Technology,Tianjin 300130,P. R. China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 2805-2809

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）