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Partitioning and Ranking Tagged Data Sources

Summary: Partitioning and ranking tagged data sources to organize vast tag-rich content. A holistic approach partitions the tag-content collection into constrained partitions and uses fast ranking to identify top partitions; validated on the Twitter firehose. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10689
Venue
VLDB
Year
2013
Pagerank
5.281001e-05
Overall Rank
5,900 | 58.96%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,350 Tracking Set Correlations at Large Scale 2014 SIGMOD 4.3525655e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,220 Structural Trend Analysis for Online Social Networks 2011 VLDB 7.3531514e-05
6,633 Identifying, Attributing and Describing Spatial Bursts 2010 VLDB 4.9845052e-05
12,353 Improved Search for Socially Annotated Data 2009 VLDB 4.1945683e-05
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