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Stratified-Sampling over Social Networks Using MapReduce

Summary: Scalable MapReduce approach for stratified sampling on large online social networks. Proposes algorithms for single- and multi-survey stratified sampling with sharing constraints, plus MapReduce implementations and experimental evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
ha5e374371cf51153
Venue
SIGMOD
Year
2014
Pagerank
4.9793485e-05
Overall Rank
12,459 | 16.24%
DOI
10.1145/2588555.2588577

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BibTeX Citation

@inproceedings{levin_sigmod14,
        title = {{Stratified-Sampling over Social Networks Using MapReduce}},
        author = {Levin, Roy and Kanza, Yaron},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588577},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588577},
        year = {2014}
}

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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
2,219 Optimal Sampling From Distributed Streams 2010 PODS 8.8156731e-05
3,145 Early Accurate Results for Advanced Analytics on MapReduce 2012 VLDB 7.5965257e-05
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