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
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Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 110 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00047892924 |
| 738 | Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis | 2013 | VLDB | 0.00017435236 |
| 1,029 | Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification | 2012 | VLDB | 0.00014582849 |
| 8,897 | BCviz: A Linear-Space Index for Mining and Visualizing Cohesive Bipartite Subgraphs | 2025 | SIGMOD | 4.427232e-05 |
| 10,119 | Theoretically and Practically Efficient Maximum Biclique Search | 2026 | SIGMOD | 4.1945683e-05 |
| 11,960 | ALID: Scalable Dominant Cluster Detection | 2015 | VLDB | 4.1945683e-05 |
| 12,075 | PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data | 2013 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 54 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00066047203 |
| 270 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00029505642 |
| 276 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB | 0.00029336949 |
| 471 | FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets | 1995 | SIGMOD | 0.00022364776 |
| 12,536 | Mining Top-k Covering Rule Groups for Gene Expression Data | 2005 | SIGMOD | 4.1945683e-05 |
| 12,572 | FARMER: Finding Interesting Rule Groups in Microarray Datasets | 2004 | SIGMOD | 4.1945683e-05 |
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