Querying K-Truss Community in Large and Dynamic Graphs
Summary: Online k-truss community search for a query vertex in large, dynamic graphs. A compact index enables linear-cost k-truss search by community size and supports swift updates under frequent graph insertions/deletions; validated on real networks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Huang (Chinese University of Hong Kong)
- 2. Hong Cheng (Chinese University of Hong Kong)
- 3. Lu Qin (University of Technology Sydney)
- 4. Wentao Tian (Chinese University of Hong Kong)
- 5. Jeffrey Xu Yu (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{huang_sigmod14,
title = {{Querying K-Truss Community in Large and Dynamic Graphs}},
author = {Huang, Xin and Cheng, Hong and Qin, Lu and Tian, Wentao and Yu, Jeffrey Xu},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2610495},
url = {https://dl.acm.org/doi/10.1145/2588555.2610495},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 98 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 100 | Truss Decomposition in Massive Networks | 2012 | VLDB | 0.0003396253 |
| 131 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00030236369 |
| 264 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00022768034 |
| 283 | Online Search of Overlapping Communities | 2013 | SIGMOD | 0.00022225677 |
| 645 | Finding Maximal Cliques in Massive Networks by H*-graph | 2010 | SIGMOD | 0.00015208902 |
| 758 | Streaming Algorithms for k-core Decomposition | 2013 | VLDB | 0.00014182137 |
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