Facebook currently is a worldwide-used online social network. This work analyzes usage of Facebook activities through network and human perspectives. We collect patterns of http requests for 20 Facebook activities, construct network-user sessions, and characterize http requests into activities. For each session, we collect two main statistics, which activity appears first and which activity has the most http requests. Then, we calculate the weighted sum to infer activities likely to be chosen by the user.
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