Research on quantifying user privacy on social networking sites

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Abstract

The popularity of social networks puts forward new challenges on the user's privacy protection. In this paper, the methods of human dynamics and statistical physics were used to study the relationship of user's network behaviors and user's privacy value. Current domestic popular social networking sites, Renren and Sina Weibo, were used as the research objects, with the user's actual data then obtained and a privacy quantitative model proposed. The results show that the user's behaviors on the network have an important impact on the value of privacy. Renren's sharing behavior in the user's geographic location has great impact on privacy, while Sina microblogging sending private messages has the greatest impact on the value of privacy. Conclusions of this study have theoretical and practical significance.

Keywords privacy protection privacy quantification human dynamics social networks user network behavior

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Issue Date: 15 March 2014

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	Hanyu ZHU
	Lianren WU
	Tingjie LU

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Hanyu ZHU,Lianren WU,Tingjie LU. Research on quantifying user privacy on social networking sites[J]. Journal of Tsinghua University(Science and Technology), 2014, 54(3): 402-406.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2014/V54/I3/402

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