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As interests in sharing and mining social network data continue to grow, we see a growing demand for privacy preserving social network data publishing. In this paper, we discuss privacy risks in publishing social network data and the design principles for developing countermeasures. The main contributions of this study are three folds. First, to the best of our knowledge, we make the first attempt to define the utility of released data in terms of exposure levels and query types, assumingdoi:10.4108/icst.collaboratecom.2011.247177 dblp:conf/colcom/WatanabeAL11 fatcat:fo27obltczbu7kgsrkcfk4msuq