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Spatially-Decaying Aggregation Over a Network: Model and Algorithms

Summary: Formalizes spatially-decaying aggregation on networks, with weights tied to distance from a location. Proposes a model and efficient algorithms for sums, averages, sampling, heavy hitters, quantiles, and L_p norms, applicable to sensor nets, P2P, and graph data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3623
Venue
SIGMOD
Year
2004
Pagerank
5.5766204e-05
Overall Rank
7,641 | 47.58%
DOI
10.1145/1007568.1007647

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cohen_sigmod04,
        title = {{Spatially-Decaying Aggregation Over a Network: Model and Algorithms}},
        author = {Cohen, Edith and Kaplan, Haim},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007647},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007647},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
3,481 Tighter Estimation using Bottom k Sketches 2008 VLDB 7.376137e-05
4,321 Efficiently Answering Top-k Typicality Queries on Large Databases 2007 VLDB 6.7617825e-05
8,379 Sampling Big Ideas in Query Optimization 2023 PODS 5.4378437e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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