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《Application Research of Computers》 2013-08
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Analysis of user influence in microblog based on individual attribute features

MA Jun1,ZHOU Gang1,2,XU Bin1,HUANG Yong-zhong1(1.PLA Information Engineering University,Zhengzhou 450002,China; 2.State Key Laboratory of Software Development Environment,Beijing 100191,China)  
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.
【Fund】: 软件开发环境国家重点实验室资助项目(SKLSDE-2011KF-06)
【CateGory Index】: TP393.092
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【Co-citations】
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