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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Survey of Privacy-Preservation of Graphs and Social Networks
verfasst von : Xintao Wu, Xiaowei Ying, Kun Liu, Lei Chen
Erschienen in: Managing and Mining Graph Data
Verlag: Springer US
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Social networks have received dramatic interest in research and development. In this chapter, we survey the very recent research development on privacypreserving publishing of graphs and social network data. We categorize the state-of-the-art anonymization methods on simple graphs in three main categories: K-anonymity based privacy preservation via edge modification, probabilistic privacy preservation via edge randomization, and privacy preservation via generalization. We then review anonymization methods on rich graphs. We finally discuss challenges and propose new research directions in this area.