I/O-efficient techniques for computing pagerank
Proceedings of the eleventh international conference on Information and knowledge management
Practical Data-Oriented Microaggregation for Statistical Disclosure Control
IEEE Transactions on Knowledge and Data Engineering
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Polynomial Algorithm for Optimal Univariate Microaggregation
IEEE Transactions on Knowledge and Data Engineering
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Local methods for estimating pagerank values
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
BlogRank: ranking weblogs based on connectivity and similarity features
AAA-IDEA '06 Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications
B2Rank: An Algorithm for Ranking Blogs Based on Behavioral Features
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Towards identity anonymization on graphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Link privacy in social networks
Proceedings of the 17th ACM conference on Information and knowledge management
A brief survey on anonymization techniques for privacy preserving publishing of social network data
ACM SIGKDD Explorations Newsletter
Preserving Privacy in Social Networks Against Neighborhood Attacks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Edge Anonymity in Social Network Graphs
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
k-automorphism: a general framework for privacy preserving network publication
Proceedings of the VLDB Endowment
k-symmetry model for identity anonymization in social networks
Proceedings of the 13th International Conference on Extending Database Technology
K-isomorphism: privacy preserving network publication against structural attacks
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
n-confusion: a generalization of k-anonymity
Proceedings of the 2012 Joint EDBT/ICDT Workshops
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Users registered in a blogging platform and the subscriptions among them compose a social network with non-symmetric relations, whose data can be modeled as a directed graph. Release of such data for scientific analysis requires a pre-processing for ensuring no private information about people will be disclosed. The measures to be taken depend on the previous structural information a dishonest analyst is assumed to have. In this paper, the considered previous information is the sorting of blogs according to their PageRank relevance, which can be obtained by querying the blogging platform search engine. After analyzing the scenario, the n-rank confusion model is proposed. Experimental results show this model achieves a high privacy protection level while preserving the structural parameters of directed graph data to a high extent.