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In this paper, we implement the first comprehensive quantification of the perfect de-anonymizability and partial de-anonymizability of real-world social networks with seed information under general scenarios, which provides the theoretical foundation for the existing structure-based de-anonymization attacks and closes the gap between de-anonymization practice and theory. Based on our quantification, we conduct a large-scale evaluation of the de-anonymizability of 24 real-world social networksdoi:10.1109/tifs.2016.2529591 fatcat:qlavnsptjbbhphlabjwii7mqwi