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Online Density Bursting Subgraph Detection from Temporal Graphs

Summary: Online DBS detection on streaming temporal graphs; long-duration DBSs decompose into indecomposable DBSs with equal or greater burstiness. Introduces TopkDBSOL, a bounded-memory online algorithm to detect top-k DBSs and demonstrates scalability on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12144
Venue
VLDB
Year
2019
Pagerank
7.9828452e-05
Overall Rank
2,896 | 80.14%
DOI
10.14778/3358701.3358704

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chu_vldb19,
        title = {{Online Density Bursting Subgraph Detection from Temporal Graphs}},
        author = {Chu, Lingyang and Zhang, Yanyan and Yang, Yu and Wang, Lanjun and Pei, Jian},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {13},
        pages = {2353--2365},
        doi = {10.14778/3358701.3358704},
        url = {https://doi.org/10.14778/3358701.3358704},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

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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
102 Truss Decomposition in Massive Networks 2012 VLDB 0.00034255289
1,018 Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification 2012 VLDB 0.0001263063
4,236 On Dense Pattern Mining in Graph Streams 2010 VLDB 6.8164649e-05
12,158 ALID: Scalable Dominant Cluster Detection 2015 VLDB 5.093636e-05
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