A Study on Influential User Identification in Online Social Networks

被引：0

作者：

WANG Nan ^{[1
]}

SUN Qindong ^{[1
]}

ZHOU Yadong ^{[2
]}

SHEN Si ^{[1
]}

机构：

[1] Shaanxi Key Laboratory of Network Computing and Security,Xi'an University of Technology

[2] Ministry of Education Key Laboratory For Intelligent Network and Network Security,Xi'an Jiaotong University

来源：

Chinese Journal of Electronics | 2016年 / 25卷 / 03期

基金：

中国国家自然科学基金;

关键词：

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

D O I：

暂无

中图分类号：

TP391.1 [文字信息处理];

学科分类号：

081203 ; 0835 ;

摘要：

Influential user evaluation is great importance in many application areas of online social networks.In 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.

引用

页码：467 / 473

页数：7

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