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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)

Paper ID
4551
Venue
SIGMOD
Year
2011
Pagerank
5.093636e-05
Overall Rank
12,378 | 15.08%
DOI
10.1145/1989323.1989473

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Authors

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}
}

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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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