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Walk, Not Wait: Faster Sampling Over Online Social Networks

Summary: Walk-ESTIMATE starts with a short random walk, then uses a backward-walk estimator and acceptance-rejection to reach the target distribution faster. Provably unbiased, it outperforms traditional RW in theory and on real OSNs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11179
Venue
VLDB
Year
2015
Pagerank
5.3506029e-05
Overall Rank
5,730 | 60.14%
DOI
-

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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
5,140 A Random Walk Approach to Sampling Hidden Databases 2007 SIGMOD 5.668209e-05
9,433 Exploration of Deep Web Repositories 2011 VLDB 4.3431757e-05
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