License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ISAAC.2022.54
URN: urn:nbn:de:0030-drops-173399
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17339/
Chatterjee, Kushagra ;
Nimbhorkar, Prajakta
Popular Edges with Critical Nodes
Abstract
In the popular edge problem, the input is a bipartite graph G = (A ∪ B,E) where A and B denote a set of men and a set of women respectively, and each vertex in A∪ B has a strict preference ordering over its neighbours. A matching M in G is said to be popular if there is no other matching M' such that the number of vertices that prefer M' to M is more than the number of vertices that prefer M to M'. The goal is to determine, whether a given edge e belongs to some popular matching in G. A polynomial-time algorithm for this problem appears in [Cseh and Kavitha, 2018].
We consider the popular edge problem when some men or women are prioritized or critical. A matching that matches all the critical nodes is termed as a feasible matching. It follows from [Telikepalli Kavitha, 2014; Kavitha, 2021; Nasre et al., 2021; Meghana Nasre and Prajakta Nimbhorkar, 2017] that, when G admits a feasible matching, there always exists a matching that is popular among all feasible matchings.
We give a polynomial-time algorithm for the popular edge problem in the presence of critical men or women. We also show that an analogous result does not hold in the many-to-one setting, which is known as the Hospital-Residents Problem in literature, even when there are no critical nodes.
BibTeX - Entry
@InProceedings{chatterjee_et_al:LIPIcs.ISAAC.2022.54,
author = {Chatterjee, Kushagra and Nimbhorkar, Prajakta},
title = {{Popular Edges with Critical Nodes}},
booktitle = {33rd International Symposium on Algorithms and Computation (ISAAC 2022)},
pages = {54:1--54:14},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-258-7},
ISSN = {1868-8969},
year = {2022},
volume = {248},
editor = {Bae, Sang Won and Park, Heejin},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/17339},
URN = {urn:nbn:de:0030-drops-173399},
doi = {10.4230/LIPIcs.ISAAC.2022.54},
annote = {Keywords: Matching, Stable Matching, Popular feasible Matching}
}
Keywords: |
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Matching, Stable Matching, Popular feasible Matching |
Collection: |
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33rd International Symposium on Algorithms and Computation (ISAAC 2022) |
Issue Date: |
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2022 |
Date of publication: |
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14.12.2022 |