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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems

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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems ( online-social-networks-measurement-analysis-and-applications )

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146 communities in the network. This would enhance the user experience on the sites, as communities are often used for guiding search results, for suggesting users who may benefit from interaction, and for grouping users. However, our findings also raise interesting questions about the nature of privacy in online social networks. In particular, almost all privacy mechanisms available to users today are based on access control: users can specify which other users are able to view the content or information they upload. Our results show, though, that even information that is not provided by users can be inferred from the user’s location in the network. Thus, a user’s privacy is not only a function of their actions, but also the actions of their friends and community members.

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