# A Privacy Measurement Framework for Multiple Online Social Networks against Social Identity Linkage
## 5 Experimental Evaluation
### Data Collection  
In our second experiment, we used the dataset we collected. We choose QQ, Sina Microblog, Tencent Microblog, and Kaixin.com as our experimental platforms. These four platforms are the most widely used OSNs in China. To record the user's multiplatform data and ensure data authenticity, as shown in Figure 4, we conducted a random survey of 279 people in our school, including undergraduates, graduate students, doctoral students, teachers, and staff, and performed statistical analysis on the profiles of the frequently used social networking sites. Subsequently, with permission and by guaranteeing not to divulge personal information, we asked those surveyed to log into their social network account, open the profile page, and truthfully record their personal information. The specific data format is similar to the data in Table 2. However, it is worth noting that letters A-Z represent different content in different user's profiles, even if they are the content of the same attribute.  
As expected, not every user used all four social networks. Only 28 of 279 people used the four social platforms. We performed a more detailed statistical analysis on these 28 users, including profile content, messages, pictures, and videos. The data of the other 251 users are used as samples to train the clustering algorithm.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Attribute** & \begin{tabular}{c} **User1** \\ **Visibility (A)** \\ \end{tabular} & \begin{tabular}{c} **User1** \\ **Visibility (B)** \\ \end{tabular} & \begin{tabular}{c} **User2** \\ **Visibility (A)** \\ \end{tabular} & \begin{tabular}{c} **User2** \\ **Visibility (B)** \\ \end{tabular} & \
\begin{tabular}{c} **User2** \\ **Score** \\ \end{tabular} &
\begin{tabular}{c} **User1** \\ **Score** \\ \end{tabular} \\ \hline Contact number & 7.32 & 4 & 1.5 & 3 & & \\ E-Mail & 7.32 & 4 & 1.52 & 3 & & \\ Address & 7.3 & 4 & 4.11 & 2 & & \\ Birthdate & 7.32 & 6 & 0 & 2 & (**A**) & (**A**) \\ Hometown & 7.32 & 4 & 1.5 & 3 & 2.582 & 0.790 \\ Current town & 7.32 & 6 & 4.11 & 3 & (**B**) & (**B**) \\ Job Details & 7.32 & 6 & 7.32 & 3 & 1.592 & 0.825 \\ Relationship Status & 7.32 & 5 & 1.5 & 3 & & \\ Interests & 7.32 & 5 & 4.11 & 3 & & \\ Religious Views & 7.32 & 5 & 0 & 1 & & \\ Political & 4.11 & 2 & 0 & 1 & & \\ \hline \hline \end{tabular}
\end{table}
Table 6: Visibility and privacy score.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Attribute** & \
\begin{tabular}{c} **User1** \\ **Accessibility** \\ \end{tabular} & **A** & **B** &
\begin{tabular}{c} **User2** \\ **Accessibility** \\ \end{tabular} & **A** & **B** \\ \hline Contact number & 2A,2B,4A,3A & 2.75 & 2.75 & 1A,1A,1A,2B & 2.75 & 1.5 \\ E-Mail & 2A,2A,3B,4B & 2.75 & 3 & 1A,1A,1A,2B & 1.25 & 1.5 \\ Address & 2A,2A,2A,3B & 2.5 & 2.5 & 2A,1B,2A,1B & 1.5 & 1.5 \\ Birthdate & 3A,2A,3A,4A & 3 & 3 & 1A,1A,1A,1A & 1 & 1 \\ Hometown & 3A,2B,3A,4C & 3 & 3 & 2B,1A,1A,1A & 1.25 & 1.5 \\ Current town & 3A,3A,2A,4A & 3 & 3 & 3A,1B,2A,1B & 1.75 & 2 \\ Job Details & 2A,4A,4A,4A & 3 & 3 & 2A,1A,4B,1A & 3 & 2.33 \\ Relationship Status & 3A,2A,2A,4B & 2.75 & 3 & 2A,1A,1A,1A & 1.25 & 1.5 \\ Interests & 3A,3A,2A,3B & 2.75 & 2.67 & 2A,1A,3B,1A & 1.75 & 2 \\ Religious Views & 3A,2A,2A,4A & 2.75 & 3 & 1A,1A,1A,1A & 1 & 1 \\ Political & 2A,2A,1A,1A & 1.5 & 1.5 & 1A,1A,1A,1A,1A & 1 & 1 \\ \hline \hline \end{tabular}
\end{table}
Table 5: Attribute accessibility and content.