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On Obtaining Stable Rankings
Summary: Geometric framework to measure stability of weight-based rankings under perturbations and identify weight regions that preserve order. Algorithms produce stable full and top-k rankings within the region of interest, with theoretical guarantees and extensive real-dataset validation.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hcda6c32bf55339e1
Venue
VLDB
Year
2019
Pagerank
6.0456849e-05
Overall Rank
5,624 | 62.31%
DOI
10.14778/3291264.3291269
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(CC BY-NC-ND 4.0)
Incoming Non-self Citations Over Time
BibTeX Citation
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@article{asudeh_vldb19,
title = {{On Obtaining Stable Rankings}},
author = {Asudeh, Abolfazl and Jagadish, H. V. and Miklau, Gerome and Stoyanovich, Julia},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {3},
pages = {237--250},
doi = {10.14778/3291264.3291269},
url = {https://doi.org/10.14778/3291264.3291269},
year = {2019}
}
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Showing 19 of 19 cited papers.
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Rank
Cited Paper
Year
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5
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2001
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344
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2000
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2009
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1,385
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2019
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1,594
Efficient Searching with Linear Constraints (Extended Abstract)
1998
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2004
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2,119
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2014
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2004
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2006
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2017
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9,447
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2009
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