A Differentially Private Graph Estimator

@article{Mir2009ADP,
  title={A Differentially Private Graph Estimator},
  author={Darakhshan J. Mir and Rebecca N. Wright},
  journal={2009 IEEE International Conference on Data Mining Workshops},
  year={2009},
  pages={122-129}
}
We consider the problem of making graph databases such as social network structures available to researchers for knowledge discovery while providing privacy to the participating entities. We show that for a specific parametric graph model, the Kronecker graph model, one can construct an estimator of the true parameter in a way that both satisfies the rigorous requirements of differential privacy and is asymptotically efficient in the statistical sense. The estimator, which may then be published… CONTINUE READING
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