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SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs

Summary: SCAN++ introduces a DTAR (directly two-hop-away reachable node) data structure to accelerate clustering, hubs, and outlier detection on large-scale graphs. By limiting density computations to DTAR-relevant two-hop neighbors and sharing evaluations, it preserves SCAN’s results while delivering substantial runtime gains on real and synthetic graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10997
Venue
VLDB
Year
2015
Pagerank
7.9445129e-05
Overall Rank
2,898 | 79.85%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019005923
108 Truss Decomposition in Massive Networks 2012 VLDB 0.00048300163
110 On Triangulation-based Dense Neighborhood Graph Discovery 2011 VLDB 0.00047892924
11,955 Scaling Manifold Ranking Based Image Retrieval 2015 VLDB 4.1945683e-05
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