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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)

Paper ID
7076
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,397 | 27.67%
DOI
10.1145/3709737

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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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