Densest Subgraph in Streaming and MapReduce
Summary: Introduces streaming and MapReduce algorithms for finding the densest subgraph, with O(log_{1+epsilon} n) streaming passes and a 2(1+epsilon)-approximation to the optimum. Demonstrates easy parallelization in MapReduce and validates performance and scalability via extensive experiments on massive real-world graphs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bahman Bahmani
- 2. Ravi Kumar
- 3. Sergei Vassilvitskii
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065491112 |
| 279 | 3-HOP: A High-Compression Indexing Scheme for Reachability Query | 2009 | SIGMOD | 0.00029113513 |
| 1,886 | Social Content Matching in MapReduce | 2011 | VLDB | 0.00010208945 |
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