Review of User Identification across Social Networks:The Complex Network Approach

被引：0
|
作者：
Xing L. [1 ]
Deng K.-K. [1 ]
Wu H.-H. [1 ]
Xie P. [1 ]
机构：
[1] School of Information Engineering, Henan University of Science and Technology, Luoyang
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2020年 / 49卷 / 06期
关键词：
Across social networks; Complex network; Data mining; Entity user; User identification;
D O I：
10.12178/1001-0548.2019182
中图分类号：
学科分类号：
摘要：
Social network is a complex network with interaction characteristics. It can link nodes in different social networks by using the network characteristics of complex network, analyze the connections between nodes, and combine with the related matching algorithm to identify user's virtual accounts, which can help social networks to provide users with better services. This paper presents a systematic review on across social networks user identification techniques proposed in the field of data mining. Then the methods for calculating the similarity of the three types of user identification techniques and the unified identification framework are elaborated in detail. The relevant evaluation metrics are used to evaluate the classified user identification technique performances. Finally, the future research directions of across social networks user identification techniques are prospected based on the analysis of the research status. Copyright ©2020 Journal of University of Electronic Science and Technology of China. All rights reserved.
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页码：905 / 917
页数：12
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