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In social networks, preserving privacy and preserving correlation among sensitive labels are a matter of trade-off. This paper presents a supervised anonymization technique, SNI (social network immunization), to publish social networks having multiple sensitive labels with correlation. SNI publishes all sensitive labels without distorting them. It publishes sensitive labels along with innovative labels named "partial sensitive labels" in an immune graph and multiple supplementary trees. Thesedoi:10.1155/2019/8171263 fatcat:rgmapte32bb4ljgeisedp7d3om