Social Network Users’ Privacy Concerns And Community Impact

In the rapid development of Internet and mobile Internet era, social media has become one of the development trends in the future, now many social networks have become popular all over the world, and has become a necessary tool for social interaction.Along with theusers of social networking site unceasing increasing, personal information released through the social networking site is also become more and more, so the issue of privacy disclosure will be increased, this will cause the users’privacy concerns.So this study will explore the relationship between social network users’ privacy concerns and social influence. First, this study demonstrates whether the social influencefactor affect social network users’ privacy concerns by structural equation model; Second, based on the methods of social network analysis this study build a further research model to find how social influence factor affect users’privacy concerns; Third, this study uses the data collected from the social network site of SinaWeibo to validate the constructed model.The main research contents and conclusions are as follows:Firstly, this study uses the IUIPC model in the first half and in this model privacy concerns can be divided into three dimensions, which including collection, cognition, and control. On the basis of previous studies, this study sets up a theoretical model which including social influence factor and mature statistical analysis. The results show that the three dimensions of privacy concerns has been significantly affected. Secondly, this study proposes a multi-layer model, including the users’ social network, the users’ geographical location and the users’ similarity, to measure the friendship between the social network site users. This study fetches the data from the platform of SinaWeiboand uses the data to build a user-node social network topology structure.Lastly, this study sets a method to differentiate the degree of users’ privacy concerns by analyzing the characteristics of the user privacy settings and the user activity in SinaWeibo. In this multi-layer friendship model we know that by comparison the size of the three variables’ value the degree of intimacy between two friends can be determined and the larger the variable value suggests that the closer the relationship between two friends.