文章基本信息

标题：Weighted Network Evolution Model of Industry Technology Innovation Alliances Knowledge Transfer Based on Node Competitivenesss
本地全文：下载
作者：Yujie ZHANG ; Jie WU ; Tingting LIU 等
期刊名称：Management Science and Engineering
印刷版ISSN：1913-0341
电子版ISSN：1913-035X
出版年度：2013
卷号：7
期号：1
页码：35-44
DOI：10.3968/j.mse.1913035X20130701.2560
语种：English
出版社：Canadian Research & Development Center of Sciences and Cultures
摘要：On the basis of the dynamic evolution and competition of the complex network of industry alliances together with the limitations of the BBV network model, a competitive merit-based dynamic evolution model is constructed. It not only considers the addition of new nodes, but also the deletion of old nodes, the rewiring of old nodes and the deletion of old links appear in the networks. By using continuum theory and mean field theory, the corresponding evolution equation is established. The strength and degree distribution of the model still has the power-rate characteristics of scale-free networks and BBV scale-free network is a special case. The correctness of the theoretical analysis is proved by the simulation. The results show that by adjusting the parameters, it can coincide with the power -low exponent of many complex networks. Therefore, the improved model is more adaptive and authenticity.
其他摘要：On the basis of the dynamic evolution and competition of the complex network of industry alliances together with the limitations of the BBV network model, a competitive merit-based dynamic evolution model is constructed. It not only considers the addition of new nodes, but also the deletion of old nodes, the rewiring of old nodes and the deletion of old links appear in the networks. By using continuum theory and mean field theory, the corresponding evolution equation is established. The strength and degree distribution of the model still has the power-rate characteristics of scale-free networks and BBV scale-free network is a special case. The correctness of the theoretical analysis is proved by the simulation. The results show that by adjusting the parameters, it can coincide with the power -low exponent of many complex networks. Therefore, the improved model is more adaptive and authenticity.
关键词：Industry Technology Innovation Coalition;BBV Model;Competitiveness;Degree Distribution;Power -low Exponent