A time-evolution model for the privacy degree of information disseminated in online social networks
International Journal of Communication Networks and Distributed Systems
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Online social networks are used by more and more people. While they enable rich communication, posting information on such networks can degrade one’s privacy and anonymity. A metric based on probability and entropy has been developed for measuring the degree of information revelation caused by posting to social networks. It can be used to measure the loss of privacy as well as the loss of anonymity.