Database Paper Browser

Back to papers

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
3561
Venue
SIGMOD
Year
2004
Pagerank
4.807579e-05
Overall Rank
7,180 | 50.06%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,928 Tighter Estimation using Bottom-k Sketches 2008 VLDB 6.6254568e-05
4,504 Efficiently Answering Top-k Typicality Queries on Large Databases 2007 VLDB 6.1327917e-05
8,470 Sampling Big Ideas in Query Optimization 2023 PODS 4.5038423e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers