The More the Merrier: Efficient Multi-Source Graph Traversal
Summary: MS-BFS runs many concurrent BFSs on one graph by sharing work and reducing memory accesses, exploiting small-world properties to avoid synchronization. It achieves near-linear core scalability on real graphs (Twitter, Wikipedia) and outperforms prior BFS for many sources, enabling all-vertices closeness centrality. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manuel Then
- 2. Moritz Kaufmann
- 3. Fernando Chirigati
- 4. Tuan-Anh Hoang-Vu
- 5. Kien Pham
- 6. Alfons Kemper
- 7. Thomas Neumann
- 8. Huy T. Vo
Incoming Citations (Sorted by Pagerank)
Showing 20 of 20 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
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 | 0.0019040811 |
| 39 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00075263552 |
| 558 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD | 0.00020158056 |
| 2,486 | Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery | 2014 | VLDB | 8.6644935e-05 |
| 2,762 | K-Reach: Who is in Your Small World | 2012 | VLDB | 8.1614818e-05 |
| 3,188 | Scalable Big Graph Processing in MapReduce | 2014 | SIGMOD | 7.4142307e-05 |
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