DBScholar

Back to papers

TwitterMonitor: Trend Detection over the Twitter Stream

Summary: Real-time trend detection over a high-velocity Twitter stream identifies emerging topics and provides analytics that synthesize concise descriptions. Unique aspects include interactive trend ranking and user-submitted topic descriptions, with a streaming-analytics architecture demonstrated in a live scenario. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4399
Venue
SIGMOD
Year
2010
Pagerank
0.00010778916
Overall Rank
1,439 | 90.13%
DOI
10.1145/1807167.1807306

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mathioudakis_sigmod10,
        title = {{TwitterMonitor: Trend Detection over the Twitter Stream}},
        author = {Mathioudakis, Michael and Koudas, Nick},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807306},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807306},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2,703 BlogScope: A System for Online Analysis of High Volume Text Streams 2007 VLDB 8.2340288e-05
8,758 What's on the Grapevine ? 2009 SIGMOD 5.3766157e-05
Previous Page 1 / 1 Next

Semantically Similar Papers