A Personalized Sensitive Label-Preserving Model and Algorithm Based on Utility in Social Network Data Publishing
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-31854-7_104
Reference8 articles.
1. Ninggal, M.I.H., Abawajy, J.H.: Utility-aware social network graph anonymization. J. Netw. Comput. Appl. 56, 137–148 (2015)
2. Yuan, M., Chen, L., Yu, P.S., et al.: Protecting sensitive labels in social network data anonymization. IEEE Trans. Knowl. Data Eng. 25(3), 633–647 (2013)
3. Fung, B.C.M., Jin, Y., Li, J.: Preserving privacy and frequent sharing patterns for social network data publishing. In: 2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 479–485. IEEE Computer Society (2013)
4. Lee, B., Fan, W., Squicciarini, A.C., et al.: The relativity of privacy preservation based on social tagging. Inf. Sci. 288, 87–107 (2014)
5. Liu, K., Terzi, E.: Towards identity anonymization on graphs. In: Proceedings of the 2008 ACM SIGMOD (2008)
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