Database Paper Browser

Back to papers

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
10537
Venue
VLDB
Year
2012
Pagerank
4.7627067e-05
Overall Rank
7,305 | 49.24%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,209 Mining Bursting Core in Large Temporal Graphs 2022 VLDB 6.3511029e-05
5,857 Spruce: A Fast yet Space-saving Structure for Dynamic Graph Storage 2024 SIGMOD 5.2970837e-05
10,659 Triparts: Scalable Streaming Graph Partitioning to Enhance Community Structure 2025 VLDB 4.1905499e-05
Previous Page 1 / 1 Next

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
969 TwitterMonitor: Trend Detection over the Twitter Stream 2010 SIGMOD 0.00014927789
2,374 Seeking Stable Clusters in the Blogosphere 2007 VLDB 8.9402142e-05
12,191 EnBlogue – Emergent Topic Detection in Web 2.0 Streams 2011 SIGMOD 4.1905499e-05
Previous Page 1 / 1 Next

Semantically Similar Papers