Arbeitspapier

Popular matchings with two-sided preferences and one-sided ties

We are given a bipartite graph G = (A B;E) where each vertex has a preference list ranking its neighbors: in particular, every a A ranks its neighbors in a strict order of preference, whereas the preference list of any b B may contain ties. A matching M is popular if there is no matching M' such that the number of vertices that prefer M' to M exceeds the number of vertices that prefer M to M'. We show that the problem of deciding whether G admits a popular matching or not is NP-hard. This is the case even when every b B either has a strict preference list or puts all its neighbors into a single tie. In contrast, we show that the problem becomes polynomially solvable in the case when each b B puts all its neighbors into a single tie. That is, all neighbors of b are tied in b's list and b desires to be matched to any of them. Our main result is an O(n2) algorithm (where n = |A B|) for the popular matching problem in this model. Note that this model is quite different from the model where vertices in B have no preferences and do not care whether they are matched or not.

ISBN
978-615-5457-13-5
Sprache
Englisch

Erschienen in
Series: IEHAS Discussion Papers ; No. MT-DP - 2017/23

Klassifikation
Wirtschaft
Computational Techniques; Simulation Modeling
Bargaining Theory; Matching Theory
Thema
popular matching
NP-complete
polynomial algorithm
ties

Ereignis
Geistige Schöpfung
(wer)
Cseh, Ágnes
Huang, Chien-Chung
Kavitha, Telikepalli
Ereignis
Veröffentlichung
(wer)
Hungarian Academy of Sciences, Institute of Economics
(wo)
Budapest
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Cseh, Ágnes
  • Huang, Chien-Chung
  • Kavitha, Telikepalli
  • Hungarian Academy of Sciences, Institute of Economics

Entstanden

  • 2017

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