Privacy Preserving Social Graphs for High Precision Community Detection
Summary: Privacy-preserving social graphs for high-precision community detection. Enables accurate community discovery from published network data while protecting the identities of users within communities from disclosure. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Himel Dev (Bangladesh University of Engineering and Technology)
BibTeX Citation
@inproceedings{dev_sigmod14,
title = {{Privacy Preserving Social Graphs for High Precision Community Detection}},
author = {Dev, Himel},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2612668},
url = {https://dl.acm.org/doi/10.1145/2588555.2612668},
year = {2014}
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|---|---|---|---|---|
| 13,606 | A User Interaction Based Community Detection Algorithm for Online Social Networks | 2014 | SIGMOD | - |
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