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基于节点重要性的 LDA 社会网络话题模型研究

叶娟 陈启买

计算机应用研究2016,Vol.33Issue(3):693-695,3.
计算机应用研究2016,Vol.33Issue(3):693-695,3.DOI:10.3969/j.issn.1001-3695.2016.03.013

基于节点重要性的 LDA 社会网络话题模型研究

LDA based social network topic model incorporating node popularity

叶娟 1陈启买2

作者信息

  • 1. 广东科学技术职业学院 广州学院,广州 510640
  • 2. 华南师范大学 计算机学院,广州 510631
  • 折叠

摘要

Abstract

In topic models of the social networks,these are usually some frequent words,such as Barack Obama,and they appear in many different topics.Users usually are interested in these words,so they cannot be removed while analyzing,and this poses a huge challenge for topic analysis.In order to solve this problem,this paper took popularity into consideration while modeling topics.This paper defined the concept of popularity for nodes in the social networks,and proposed an extended topic model containing node popularity.The experiments show that,the proposed model has better prediction ability,and is more effective in prediction accuracy than related works.

关键词

LDA/话题模型/社会网络/流行性组件

Key words

LDA/topic model/social networks/node popularity

分类

信息技术与安全科学

引用本文复制引用

叶娟,陈启买..基于节点重要性的 LDA 社会网络话题模型研究[J].计算机应用研究,2016,33(3):693-695,3.

基金项目

国家自然科学基金资助项目(61170306);广东省教育厅资助项目(Yq2013177);广东省科学技术厅资助项目 ()

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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