Social networking websites usage is becoming popular these days among individuals and organizations. Several organizations and researchers started investigating how social networking websites can be used as a potential tool to innovate and improve the sales of products. However, in the hustle of using social networking sites, the users knowingly or unknowingly expose their personal data to unintended users. The literature identifies the need for privacy scores of a social networking website so that the users can easily identify the level of disclosure of their personal information on the website. Quantifying privacy on social networking websites is a new and trending area of research. We propose a novel approach to calculate the privacy score of a user on a social networking website. The calculated privacy score of the user takes into account the user’s personal profile attributes and settings along with the network characteristics of the social network.

如今，社交网站的使用在个人和组织中变得越来越流行。一些组织和研究人员开始研究如何将社交网站用作创新和提高产品销售的潜在工具。然而，在匆忙使用社交网站的过程中，用户有意或无意地将他们的个人数据暴露给非有意用户。文献确定了社交网站对隐私评分的需求，以便用户可以轻松识别其个人信息在网站上的披露程度。量化社交网站上的隐私是一个新的趋势研究领域。我们提出了一种新颖的方法来计算社交网站上用户的隐私得分。计算的用户隐私分数考虑了用户的个人资料属性和设置以及社交网络的网络特征。