The requirements mentioned in \ref{sec:requirements} also include the provision of anonymized data for the \ac{OSN} service provider. Since the business model of Twitter is based on personal data, and therefore the interests of Hybrid \ac{OSN} are contrary to those of Twitter, the fulfillment of this requirement is extremely complex.

A prominent feature of Twitter is the analysis and promotion of trends (see Figure \ref{fig:twitter-trends}). The trends are identified through frequently used hashtags and presented in a ranking. Such data can also be collected and evaluated in the private network without having to establish a connection to the users.

To collect this information, when a new tweet is posted to the private network, the contained hashtags are extracted and stored separately (see flowchart Figure \ref{fig:post-tweet-flow-chart}). Similar to the presentation of trends on Twitter, the trends in the private network are also aggregated on a daily basis and presented on a website (see Figure \ref{fig:hybrid-osn-trends}).

\begin{figure}[h!]
	\centering
	\begin{subfigure}[b]{0.49\textwidth}
		\includegraphics[width=\textwidth]{twitter-trends}
		\caption{Twitter trends}
		\label{fig:twitter-trends}	
	\end{subfigure}
	\begin{subfigure}[b]{0.49\textwidth}
		\includegraphics[width=\textwidth]{hybrid-osn-trends}
		\caption{Hybrid \ac{OSN} trends}
		\label{fig:hybrid-osn-trends}
	\end{subfigure}
	\caption{Trending hashtags in Twitter and the private network side by side}
\end{figure}

Because GUN is JavaScript-based and therefore executable in the web browser, access to the data from a simple \ac{HTML} web page can be performed using JavaScript code. The raw data is loaded, aggregated and displayed.