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Privacy Preservation in Social Network Analysis
Last modified: 2012-07-11
Abstract
Social networks are in great expansion nowadays. Opposite to many benefits, such as fast access to information, simple interaction among users, or being a perspective data source for decision makers and analysts, they raise many problems related to privacy protection. Vast amount of personal information that are voluntarily provided is disclosed in social networks and prone to misuse. Therefore, in this paper we investigated named erosions of privacy from (1) the viewpoint of data mining techniques used in social network analytic, and from (2) the perspective of different privacy-preserving mechanisms and methods applied to social networks.