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Injecting Uncertainty in Graphs for Identity Obfuscation

Summary: Proposes injecting uncertainty into social graphs and publishing uncertain graphs for anonymization. Unlike binary edge add/remove, partial perturbation preserves more utility at the same obfuscation level, yielding higher usefulness on real networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10374
Venue
VLDB
Year
2012
Pagerank
7.5598015e-05
Overall Rank
3,101 | 78.43%
DOI
-

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