计算机应用研究2013，Vol.30Issue(8)：2483-2487,5.DOI:10.3969/j.issn.1001-3695.2013.08.061
基于个人属性特征的微博用户影响力分析
Analysis of user influence in microblog based on individual attribute features
摘要
Abstract
To improve the accuracy of key-person recognition in microblog topics,this paper proposed a new method of user influence analysis named PBF which based on individual attribute features.The method firstly used information diffusion characters to measure user influence,and then made regression analysis with individual attribute features to find out the ones effecting user influence most,with which predicted user influence.The experimental results indicate that the recognition efficiency of PBF method is obviously superior to RNF,improving the accuracy of key-person recognition effectively.关键词
微博话题/关键人识别/用户影响力/属性特征/回归分析Key words
microblog topic/ key-person recognition/ user influence/ attribute features/ regression analysis分类
信息技术与安全科学引用本文复制引用
马俊,周刚,许斌,黄永忠..基于个人属性特征的微博用户影响力分析[J].计算机应用研究,2013,30(8):2483-2487,5.基金项目
软件开发环境国家重点实验室资助项目(SKLSDE-2011KF-06) （SKLSDE-2011KF-06）
