Popular matchings with two-sided preferences and one-sided ties
Paper i proceeding, 2015

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 lists of 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 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 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.


Á. Cseh

Technische Universität Berlin

Chien-Chung Huang

Chalmers, Data- och informationsteknik, Datavetenskap

T. Kavitha

Tata Institute of Fundamental Research

Lecture Notes in Computer Science

0302-9743 (ISSN)

Vol. 9134 367-379


Språkteknologi (språkvetenskaplig databehandling)





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