社会网络个体节点影响力研究

摘要

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.%为对大型社会网络节点的影响力进行分析,通过综合考虑社会网络的结构特性,寻找具有最大影响范围的k个节点,并对选出的个体节点进行中心性分析,重点考察个体节点的中间中心性和接近中心性,做出更准确的分析结果.实验结果表明,该方法可对含有大量个体节点的社会网络进行分析,筛选出有较大影响力的个体节点.