Abstract
Many individuals all around the world have been using social media to communicate information. Numerous companies utilize social data mining to deduce many fascinating facts from social data modeled as a complicated network structure. However, releasing social data has a direct and indirect impact on the privacy of many of its users. Recently, several anonymization techniques have been created to safeguard Personal information about users and their relationships in social media. This study presents a comprehensive survey on various data anonymization strategies for social network data and analysis their advantages and disadvantages. It also addresses the major research concerns surrounding the efficiency of anonymization approaches.
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