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Expert selection is an important aspect of many Web applications, e.g., when they aim at matching contents, tasks or advertisement based on user profiles, possibly retrieved from social networks. This paper focuses on selecting experts within the population of social networks, according to the information about the social activities of their users. We consider the following problem: given an expertise need (expressed for instance as a natural language query) and a set of social network members,doi:10.1145/2452376.2452451 dblp:conf/edbt/BozzonBCSV13 fatcat:uekn37mllffktppmzqazr57a6u