社交网络用户隐私量化建模与实证  

Quantitative and Empirical Research of Online Social Network User's Privacy

作　　者：白磊 梅真瑋 陈霞[1] 吕廷杰[1] BAI Lei;MEI Zhenwei;CHEN Xia;LYU Tingjie(School of Economics and Management, Beifing University of Post and Telecommunications, Beifing 100876)

机构地区：[1]北京邮电大学经济管理学院,北京100876

出　　处：《四川师范大学学报（自然科学版）》2018年第4期560-568,共9页Journal of Sichuan Normal University（Natural Science）

基　　金：国家重点基础研究发展计划(973计划)(2012CB315805);国家自然科学基金(71172135;71231002)

摘　　要：在线社交网络的飞速发展对社交网络用户的隐私保护提出了新的挑战.通过使用社会网络分析、决策分析理论和实证研究的方法,建立了一种用户隐私向量模型,从而实现对社交网络中用户隐私保护状况的量化分析.并在此基础上以新浪微博为研究对象,通过微博用户的真实数据进行实证分析.研究结果表明:用户隐私量值对用户的行为有重要影响,真实社交网络中大部分用户的隐私关注程度较低,高隐私关注群体和低隐私关注群体的比例较小,用户的私信和地理位置信息的分享行为受用户的隐私关注情况影响大.研究结果对社交网络用户的隐私保护、社交网络中用户行为规律的研究具有参考意义.The development of internet and online social networks puts forward new challenges on the social network user＇s privacy protection. In this paper,the method of social network analysis,empirical research,and the theory of decision analysis were used to build the user＇s privacy quantitative model,which was used to quantify the state of privacy protection. Sina weibo was used as the research object,then empirical analysis of the privacy was performed with the user＇s actual data. The results show that the value of privacy has an important impact on the user＇s behaviors on the social network. Most of the users＇ privacy awareness was low,and the user＇s privacy awareness has an important influence on the network behavior,such as sending private messages and sharing the information of the user＇s geographic location. Conclusions of this study have theoretical and practical significance.

关 键 词：隐私量化 社交网络 实证研究 相关分析 

分 类 号：N949[自然科学总论—系统科学]