Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks-Reference-Cited by-同舟云学术

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Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)
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Author:

Ju Xin,Zhang Xiaofeng,Cheung William K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8743499/8750905/08750943.pdf?arnumber=8750943

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalized sampling graph collection with local differential privacy for link prediction;World Wide Web;2023-05-08

2. A Comprehensive Analysis of Privacy-Preserving Solutions Developed for Online Social Networks;Electronics;2022-06-21

3. Correlated tuple data release via differential privacy;Information Sciences;2021-06

4. Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process;2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2020-12

5. A Review on Privacy Preservation of Social Networks Using Graphs;Journal of Applied Security Research;2020-04-23

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