Privacy and Uniqueness of Neighborhoods in Social Networks
Abstract
The ability to share social network data at the level of individual connections is beneficial to science: not only for reproducing results, but also for researchers who may wish to use it for purposes not foreseen by the data releaser. Sharing such data, however, can lead to serious privacy issues, because individuals could be re-identified, not only based on possible nodes' attributes, but also from the structure of the network around them. The...
Paper Details
Title
Privacy and Uniqueness of Neighborhoods in Social Networks
Published Date
Sep 21, 2020
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