Schneider et al. [7] also study clickstream data, but their focuses are feature popularity, session characteristics, and the dynamics within Online Social Networks sessions. The distribution of HTTP request-response pairs reveal the popularity of different features. The popularity of features can be different among users from different areas and of different Online Social Networks. It can also differ by the time spent by the users. Besides, the distribution of transmission bytes per Online Social Networks session is given, which helps the ISPs learn the traffic pattern of different Online Social Networks. Photo features account for most traffic bytes of Online Social Networks . It also shows the duration of sessions and number of subsessions within a session. Moreover, the article reveals the dynamics within Online Social Networks sessions. It is found that most users access web sites other than Online Social Networks during Online Social Networks sessions for more than 1 min. That is, users can be inactive when accessing the Online Social Networks.