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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)

Paper ID
4007
Venue
SIGMOD
Year
2008
Pagerank
7.0538737e-05
Overall Rank
3,480 | 75.80%
DOI
-

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