Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification
Summary: Maintaining dense subgraphs under streaming edge-weight updates for real-time story identification. DYN DENS exploits tight bounds on edge-update impact to density, outperforming naive baselines with validation on large real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Albert Angel
- 2. Nick Koudas
- 3. Nikos Sarkas
- 4. Divesh Srivastava
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065421423 |
| 182 | Mining Frequent Patterns without Candidate Generation | 2000 | SIGMOD | 0.00036955562 |
| 969 | TwitterMonitor: Trend Detection over the Twitter Stream | 2010 | SIGMOD | 0.00014927789 |
| 1,204 | Efficient Diversity-Aware Search | 2011 | SIGMOD | 0.00013316893 |
| 1,803 | Incremental Clustering for Mining in a Data Warehousing Environment | 1998 | VLDB | 0.00010481475 |
| 2,374 | Seeking Stable Clusters in the Blogosphere | 2007 | VLDB | 8.9402142e-05 |
| 3,485 | CSV: Visualizing and Mining Cohesive Subgraphs | 2008 | SIGMOD | 7.0470365e-05 |
| 8,552 | What's on the Grapevine ? | 2009 | SIGMOD | 4.4893996e-05 |
Previous
Page 1 / 1
Next