Evaluating the impact of k-anonymization on the inference of interaction networks

We address the publication of a large academic information dataset while ensuring privacy. We evaluate anonymization techniques achieving the intended protection, while retaining the utility of the anonymized data. The published data can help to infer behaviors and study interaction patterns in an academic population. These could subsequently be used to… CONTINUE READING