Adaptive mechanisms (personalization, recommendation) all rely on user profile. A major issue is the construction of such profile. Its relevance regarding needs and interests of the user plays an important role in the quality of adaptation. Online social networks provide valuable information sources about the user. This work focuses on extracting user interests from his/her social network to build his/her social profile. We propose to apply a time-aware method into an existing egocentric-based user profiling process. The aim of this strategy is to weight user’s interests according to its relevance and freshness. The time awareness weight of an interest is computed by combining the relevance of individuals in the user’s egocentric network, computed by taking into account the freshness of their ties, and the information relevance, computed by taking into account its freshness. This paper is an extended version of our previous work presented at Inforsid2015 (Canut et al., 2015). We propose a more detailed study of the state of the art and further experiments and analysis.