ALID: Scalable Dominant Cluster Detection
Summary: ALID uses Evolutionary Game Theory to detect dominant clusters via Localized Infection Immunization Dynamics (LID) inside a small region of interest, avoiding full quadratic affinity graphs. CIVS + ROI enable scalable, accurate clustering with O(C(a*+delta)n) time and O(a*(a*+delta)) space; PALID on Spark processes 50M SIFT in 2.29h with 7.51x speedup. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Lingyang Chu
- 2. Shuhui Wang
- 3. Siyuan Liu
- 4. Qingming Huang
- 5. Jian Pei
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,367 | Online Density Bursting Subgraph Detection from Temporal Graphs | 2019 | VLDB | 7.1725806e-05 |
| 11,671 | Finding Theme Communities from Database Networks | 2019 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,029 | Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification | 2012 | VLDB | 0.00014582849 |
| 2,093 | Scalable K-Means++ | 2012 | VLDB | 9.5588104e-05 |
| 3,480 | CSV: Visualizing and Mining Cohesive Subgraphs | 2008 | SIGMOD | 7.0538737e-05 |
| 7,512 | PAnG - Finding Patterns in Annotation Graphs | 2012 | SIGMOD | 4.7180617e-05 |
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