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Predicting the attributes of social network users using a graph-based machine learning method

文献类型：期刊论文

作者Ding, Yuxin2; Yan, Shengli2; Zhang, YiBin2; Dai, Wei2; Dong, Li1
刊名COMPUTER COMMUNICATIONS
出版日期2016
卷号73页码:3-11
ISSN号0140-3664
关键词Social network analysis Data mining Social network privacy Semi-supervised learning Information inference
DOI10.1016/j.comcom.2015.07.007
英文摘要Attribute information from social network users can be used as a basis for grouping users, sharing content, and recommending friends. However, in practice, not all users provide their attributes. In this paper, we try to use information from both the graph structure of the social network and the known attributes of users to predict the unknown attributes of users. Considering the topological structure of a social network and the characteristics of users' data, we select a graph-based semi-supervised learning algorithm to predict users' attributes. We design different strategies for computing the relational weights between users. The experimental results on real-world data from Renren demonstrate that the semi-supervised learning method is more suitable for predicting users' attributes compared with the supervised learning models, and our strategies for computing the relational weights between users are effective. We also analyze the effect of different social relations on predicting users' attributes. (C) 2015 Elsevier B.V. All rights reserved.
资助项目Scientific Research Foundation in Shenzhen[JCYJ20140627163809422] ; Scientific Research Innovation Foundation in Harbin Institute of Technology[HIT.NSRIF2010123] ; State Key Laboratory of Computer Architecture, Chinese Academy of Sciences ; Key Laboratory of Network Oriented Intelligent Computation (Shenzhen)
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000367773100002
源URL[http://119.78.100.204/handle/2XEOYT63/8945]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ding, Yuxin
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100864, Peoples R China
2.Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714		 Ding, Yuxin,Yan, Shengli,Zhang, YiBin,et al. Predicting the attributes of social network users using a graph-based machine learning method[J]. COMPUTER COMMUNICATIONS,2016,73:3-11.
APA Ding, Yuxin,Yan, Shengli,Zhang, YiBin,Dai, Wei,&Dong, Li.(2016).Predicting the attributes of social network users using a graph-based machine learning method.COMPUTER COMMUNICATIONS,73,3-11.
MLA Ding, Yuxin,et al."Predicting the attributes of social network users using a graph-based machine learning method".COMPUTER COMMUNICATIONS 73(2016):3-11.

入库方式： OAI收割

来源：计算技术研究所

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