基于多元属性的社团挖掘在意见领袖发现中的应用
Community Identification Based on Multivariate Properties and Utilizing It to Identify Network Opinion Leader
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摘要: 意见领袖是网络舆论传播中的关键,在舆情分析中有重要意义.采用无向图建模,将链接两端节点的PageRank值与相似度,作为链接的双重属性,通过二次判别式对链接进行主次划分,将整个网络划分为核心与非核心两类用户,并将网络中的大社团进行细化,结合细化后的社团跟核心用户的划分结果找出其中相应的子社团中的意见领袖,提出了一种基于二元分类的意见领袖发现算法.Abstract: Opinion leader is the key point in the process of network public opinion spreading,has important significance in the analysis of public opinion.This article uses undirected graph for modeling,Take the value of PageRank and similarity into account,as the attribute of the link,and uses Quadratic Discriminant to classify the model of links.We can find the opinion leader of the inner community.
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