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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Foteini Alvanaki (Saarland University)
- 2. Sebastian Michel (Saarland University)
- 3. Krithi Ramamritham (Indian Institute of Technology Mumbai)
- 4. Gerhard Weikum (Max Planck Institute)
BibTeX Citation
@inproceedings{alvanaki_sigmod11,
title = {{EnBlogue – Emergent Topic Detection in Web 2.0 Streams}},
author = {Alvanaki, Foteini and Michel, Sebastian and Ramamritham, Krithi and Weikum, Gerhard},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989473},
url = {https://dl.acm.org/doi/10.1145/1989323.1989473},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,277 | Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments | 2012 | VLDB | 5.6581746e-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 |
|---|---|---|---|---|
| 1,439 | TwitterMonitor: Trend Detection over the Twitter Stream | 2010 | SIGMOD | 0.00010778916 |
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