Bursting Flow Query on Large Temporal Flow Networks
Summary: Proposes a bursting-flow query on temporal networks: maximize source-sink flow per time window (burstiness) to flag high-rate intervals. BFQ enumerates intervals and computes max-flows; BFQ* adds incremental updates reusing shared subflows for efficiency; validated on real transaction networks. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Lyu Xu
- 2. Jiaxin Jiang
- 3. Byron Choi
- 4. Jianliang Xu
- 5. Bingsheng He
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,135 | ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks | 2026 | SIGMOD | 4.1945683e-05 |
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