DBScholar

Back to papers

HYDRA: Large-scale Social Identity Linkage via Heterogeneous Behavior Modeling

Summary: HYDRA links identities across platforms via heterogeneous-behavior modeling, a structural-consistency graph on core networks, and joint optimization of supervised linkage with cross-platform coherence. Scale: 10M users, 7 networks; gains >=20% over SOTA, up to 4x in settings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4826
Venue
SIGMOD
Year
2014
Pagerank
5.8838007e-05
Overall Rank
6,411 | 56.02%
DOI
10.1145/2588555.2588559

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{liu_sigmod14,
        title = {{HYDRA: Large-scale Social Identity Linkage via Heterogeneous Behavior Modeling}},
        author = {Liu, Siyuan and Wang, Shuhui and Zhu, Feida and Zhang, Jinbo and Krishnan, Ramayya},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588559},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588559},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,879 Authenticated Online Data Integration Services 2015 SIGMOD 5.5245691e-05
11,791 SLIM: Scalable Linkage of Mobility Data 2020 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
273 Online Search of Overlapping Communities 2013 SIGMOD 0.00022671795
1,248 Entity Matching: How Similar Is Similar 2011 VLDB 0.00011498301
3,746 Discovering Linkage Points over Web Data 2013 VLDB 7.1561558e-05
4,060 Inter-Media Hashing for Large-scale Retrieval from Heterogeneous Data Sources 2013 SIGMOD 6.9322681e-05
Previous Page 1 / 1 Next

Semantically Similar Papers