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Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments

Summary: Real-time event discovery from microblog streams via dense clusters in dynamic graphs; introduces the short-cycle prop. for evolving subgraphs. Proposes efficient clustering and a ranking function with proofs, validated on real data, achieving high precision/recall on dynamic graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hc4a9b89df2555d62
Venue
VLDB
Year
2012
Pagerank
5.5323086e-05
Overall Rank
7,422 | 50.10%
DOI
10.14778/2336664.2336675

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{agarwal_vldb12,
        title = {{Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments}},
        author = {Agarwal, Manoj K and Ramamritham, Krithi and Bhide, Manish},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {10},
        pages = {980--991},
        doi = {10.14778/2336664.2336675},
        url = {https://doi.org/10.14778/2336664.2336675},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,376 Mining Bursting Core in Large Temporal Graphs 2022 VLDB 7.3590905e-05
5,065 Spruce: A Fast yet Space-saving Structure for Dynamic Graph Storage 2024 SIGMOD 6.2901915e-05
11,300 Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure 2025 VLDB 4.9793485e-05
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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
1,483 TwitterMonitor: Trend Detection over the Twitter Stream 2010 SIGMOD 0.00010537238
2,884 Seeking Stable Clusters in the Blogosphere 2007 VLDB 7.9108054e-05
12,669 EnBlogue – Emergent Topic Detection in Web 2.0 Streams 2011 SIGMOD 4.9793485e-05
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