Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream

Summary: Data platform with Automatic Topic-focused Monitor (ATM) for topic-oriented Twitter stream monitoring. ATM alternates tweet sampling and keyword selection to maximize target coverage under API-cost limits with unbiased sampling; achieves 90% coverage and 49% improvement over manual tracking. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10870
Venue: VLDB
Year: 2013
Pagerank: 5.3251649e-05
Overall Rank: 9,085 | 37.67%
DOI: 10.14778/2535256.2535277

Incoming Non-self Citations Over Time

Authors

1. Rui Li (University of Illinois Urbana-Champaign)
2. Shengjie Wang (University of Illinois Urbana-Champaign)
3. Kevin Chen-Chuan Chang (Advanced Digital Sciences Center; University of Illinois Urbana-Champaign)

BibTeX Citation

@article{li_vldb13,
        title = {{Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream}},
        author = {Li, Rui and Wang, Shengjie and Chang, Kevin Chen-Chuan},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {14},
        pages = {1966--1969},
        doi = {10.14778/2535256.2535277},
        url = {https://doi.org/10.14778/2535256.2535277},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,705	TQEL: Framework for Query-Driven Linking of Top-K Entities in Social Media Blogs	2021	VLDB	5.093636e-05

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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