Research Of The Online Social Network User's Privacy Quantification And Privacy Disclosure Risk In The Information Dissemination

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 literature research, social network analysis, empirical research, mathematical modeling 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 researched the privacy with the user's data.The correlation analytic method was used to analysis the value of privacy and user's properties. The results shows that the value of privacy have an important impact on the user's behaviors on the social network. Most of the users' privacy awareness were 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.On the basis of the research on the protection of social network users'privacy, the risk of privacy disclosure in social network information dissemination was studied. The risk of leakage of privacy is decomposed into the loss and the probability of leakage. The specific quantitative methods and ideas were built on the factors that influence the privacy disclosure,such as social network nodes, information dissemination path,information content and other factors. Then the framework model of social network information privacy disclosure risk was integrated. The research results provide new ideas and methods for the study of social network user's privacy protection in the future.