南京航空航天大学学报2013，Vol.45Issue(3)：429-434,6.
基于PageRank的有向加权复杂网络节点重要性评估方法
Evaluation Method for Node Importance in Directed-Weighted Complex Networks Based on PageRank
摘要
Abstract
The existing evaluation methods for node importance in complex network mainly focus on undirected and unweighted complex networks,and can not reflect objectively the reality of real world status.Based on directed-weighted complex network model,the PageRank ranking algorithm and combined with characteristics of evaluation for node importance of the directed-weighted complex network,a new evaluation index named DWCN-NodeRank for node importance and corresponding evaluation method are put forward.Besides the local link characteristics,the proposed index can reflect the influence of whole link relationship on node importance in directed-weighted complex networks from the global view.Simulation experiment runs on the data set of real complex networks,and the results show that the proposed method may quickly,effectively evaluate node importance in directed-weighted complex networks.关键词
复杂网络/节点重要性/评估方法/PageRankKey words
complex networks/ node importance/ evaluation method/ PageRank分类
信息技术与安全科学引用本文复制引用
张琨,李配配,朱保平,胡满玉..基于PageRank的有向加权复杂网络节点重要性评估方法[J].南京航空航天大学学报,2013,45(3):429-434,6.基金项目
国家自然科学基金(61003210)资助项目 （61003210）
江苏省自然科学基金(BK2010491,BK2011023)资助项目 （BK2010491,BK2011023）
江苏省"六大人才高峰"基金(11-C-028)资助项目. （11-C-028）
