桂林电子科技大学学报2013，Vol.33Issue(4)：309-313,5.
社会网络个体节点影响力研究
The analysis for the influence of individual node in social networks
摘要
Abstract
The analysis of a node's influence in large social networks is still a very difficult problem.By considering fully the characteristics of the structure of a social network,firstly k nodes with the most influence capability are found by the influence maximization algorithm,then the selected k nodes are analyzed with centrality measurements consisting of the betweenness and the closeness centrality,finally a more accurate analysis result is induced.Experimental results show that the method can analyze the social network containing a large number of individual nodes and filter out the greater influence individual nodes.关键词
社会网络/个体节点/影响最大化/中心性Key words
social network/ individual node/ influence maximization/ centrality分类
信息技术与安全科学引用本文复制引用
李晓冉,蔡国永..社会网络个体节点影响力研究[J].桂林电子科技大学学报,2013,33(4):309-313,5.基金项目
广西自然科学基金(2011GXNSFA018156) （2011GXNSFA018156）
