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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
10724
Venue
VLDB
Year
2012
Pagerank
5.6581746e-05
Overall Rank
7,277 | 50.08%
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
3,337 Mining Bursting Core in Large Temporal Graphs 2022 VLDB 7.5072753e-05
4,946 Spruce: A Fast yet Space-saving Structure for Dynamic Graph Storage 2024 SIGMOD 6.4319457e-05
10,903 Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure 2025 VLDB 5.093636e-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
1,439 TwitterMonitor: Trend Detection over the Twitter Stream 2010 SIGMOD 0.00010778916
2,833 Seeking Stable Clusters in the Blogosphere 2007 VLDB 8.0782625e-05
12,378 EnBlogue – Emergent Topic Detection in Web 2.0 Streams 2011 SIGMOD 5.093636e-05
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