A Study on Influential User Identification in Online Social Networks

作     者：WANG Nan SUN Qindong ZHOU Yadong SHEN Si 

作者机构：Shaanxi Key Laboratory of Network Computing and SecurityXi'an University of Technology Ministry of Education Key Laboratory For Intelligent Network and Network SecurityXi'an Jiaotong University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2016年第25卷第3期

页      面：467-473页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(No.61172124 No.61571360 No.61202392) 

主　　题：Online social networks Influential user identification Dynamic regional interaction model(DRI) User influence evaluation 

摘      要：Influential user evaluation is great importance in many application areas of online social *** order to identify influential users in a more adequate and practical way, we propose a Dynamic regional interaction model(DRI) to evaluate user influence in online social networks. Influential users can be identified by the influence effect on different distance users based on dynamic regional interaction model. We have applied the influential user identification method to Sina Weibo and the experimental results show that compared with the existing methods the proposed method can identify the influence users in a more accuracy and efficiency way.