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Class-based graph anonymization for social network data

Summary: Class-based graph anonymization for social networks: grouping entities into classes and masking the mapping to anonymized nodes. Preserves rich data utility with accurate query evaluation under a safety condition that resists inference attacks, shown on real social-network data with efficient queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9975
Venue
VLDB
Year
2009
Pagerank
6.2647606e-05
Overall Rank
4,349 | 69.75%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
3,101 Injecting Uncertainty in Graphs for Identity Obfuscation 2012 VLDB 7.5598015e-05
5,485 Neighborhood-Privacy Protected Shortest Distance Computing in Cloud 2011 SIGMOD 5.4813218e-05
6,185 Privacy-Aware Data Management in Information Networks 2011 SIGMOD 5.1666285e-05
8,309 Personalized Privacy Protection in Social Networks 2011 VLDB 4.5435639e-05
12,207 Surrogate Parenthood: Protected and Informative Graphs 2011 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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