EnBlogue – Emergent Topic Detection in Web 2.0 Streams
Summary: EnBlogue continuously monitors Web 2.0 streams to detect emergent topics via sudden shifts in tag correlations. Personalization tailors signals to user interests and supports real-time monitoring plus time-lapse analysis on archives. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,308 | Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments | 2012 | VLDB | 4.7672834e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 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 | 0.00014942212 |
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