OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks
Summary: OLAK uses an onion-layer (onion-peeling) structure to solve anchored k-core on large graphs, constraining anchors to onion layers and enabling aggressive pruning. Experiments on 10 real networks show scalable, efficient performance on general graphs, outperforming bounded-treewidth methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fan Zhang (University of Technology Sydney)
- 2. Wenjie Zhang (University of New South Wales)
- 3. Ying Zhang (University of Technology Sydney)
- 4. Lu Qin (University of Technology Sydney)
- 5. Xuemin Lin (University of New South Wales)
BibTeX Citation
@article{zhang_vldb17,
title = {{OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks}},
author = {Zhang, Fan and Zhang, Wenjie and Zhang, Ying and Qin, Lu and Lin, Xuemin},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {6},
pages = {649--660},
doi = {10.14778/3055330.3055336},
url = {https://doi.org/10.14778/3055330.3055336},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 276 | Local Search of Communities in Large Graphs | 2014 | SIGMOD | 0.00022620623 |
| 590 | Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis | 2013 | VLDB | 0.0001605572 |
| 793 | Streaming Algorithms for k-core Decomposition | 2013 | VLDB | 0.00013978774 |
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