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Injecting Uncertainty in Graphs for Identity Obfuscation
[article]
2012
arXiv
pre-print
Data collected nowadays by social-networking applications create fascinating opportunities for building novel services, as well as expanding our understanding about social structures and their dynamics. Unfortunately, publishing social-network graphs is considered an ill-advised practice due to privacy concerns. To alleviate this problem, several anonymization methods have been proposed, aiming at reducing the risk of a privacy breach on the published data, while still allowing to analyze them
arXiv:1208.4145v1
fatcat:vqre6fxqpve5dj2nm4k6my2hxy