Social Search Queries in Time

Recently, social networks have attracted considerable attention. The huge volume of information contained in them, as well as their dynamic nature, makes the problem of searching social data challenging. In this position paper, to increase the eectiveness of social search queries, we propose exploiting the temporal information available in social networks. In particular, we introduce dierent types of queries aiming at satisfying information needs from dierent perspectives. We present a formal graph and query model augmented with time and outline methods for query processing and timedependent ranking. Finally, we identify several directions for future work.