CSV: Visualizing and Mining Cohesive Subgraphs
Summary: CSV proposes an approximate algorithm mapping edges and nodes into a multi-dimensional space to visualize cohesive subgraphs; dense regions reveal cohesive components. With worst-case O(V^2 log V) for fixed dimension (often sub-quadratic in practice), it enables visualization and pre-filtering to scale exact miners like CLAN. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nan Wang (National University of Singapore)
- 2. Srinivasan Parthasarathy (Ohio State University)
- 3. Kian-Lee Tan (National University of Singapore)
- 4. Anthony K. H. Tung (National University of Singapore)
BibTeX Citation
@inproceedings{wang_sigmod08,
title = {{CSV: Visualizing and Mining Cohesive Subgraphs}},
author = {Wang, Nan and Parthasarathy, Srinivasan and Tan, Kian-Lee and Tung, Anthony K. H.},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376663},
url = {https://dl.acm.org/doi/10.1145/1376616.1376663},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 262 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00023084332 |
| 590 | Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis | 2013 | VLDB | 0.0001605572 |
| 1,018 | Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification | 2012 | VLDB | 0.0001263063 |
| 9,049 | BCviz: A Linear-Space Index for Mining and Visualizing Cohesive Bipartite Subgraphs | 2025 | SIGMOD | 5.3251649e-05 |
| 10,407 | Theoretically and Practically Efficient Maximum Biclique Search | 2026 | SIGMOD | 5.093636e-05 |
| 12,158 | ALID: Scalable Dominant Cluster Detection | 2015 | VLDB | 5.093636e-05 |
| 12,272 | PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data | 2013 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 37 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00048017193 |
| 212 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB | 0.000247733 |
| 291 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00022264197 |
| 483 | FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets | 1995 | SIGMOD | 0.00017756569 |
| 12,729 | Mining Top-k Covering Rule Groups for Gene Expression Data | 2005 | SIGMOD | 5.093636e-05 |
| 12,765 | FARMER: Finding Interesting Rule Groups in Microarray Datasets | 2004 | SIGMOD | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,148 | Finding Locally Densest Subgraphs: A Convex Programming Approach | 2022 | VLDB |
| 2 | 8,477 | Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs | 2025 | SIGMOD |
| 3 | 7,466 | Mining Attribute-structure Correlated Patterns in Large Attributed Graphs | 2012 | VLDB |
| 4 | 9,049 | BCviz: A Linear-Space Index for Mining and Visualizing Cohesive Bipartite Subgraphs | 2025 | SIGMOD |
| 5 | 10,930 | Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory | 2025 | VLDB |
| 6 | 2,083 | Fast Hierarchy Construction for Dense Subgraphs | 2017 | VLDB |
| 7 | 262 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB |
| 8 | 2,024 | Efficient Algorithms for Densest Subgraph Discovery | 2019 | VLDB |
| 9 | 8,206 | Mining Top-k Pairs of Correlated Subgraphs in a Large Network | 2020 | VLDB |
| 10 | 590 | Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis | 2013 | VLDB |