Super-stability in the Student-Project Allocation Problem with Ties
Sofiat Olaosebikan, David Manlove

TL;DR
This paper introduces a polynomial-time algorithm for finding super-stable matchings in the generalized Student-Project Allocation problem with ties, and empirically analyzes the likelihood of such matchings under various tie configurations.
Contribution
It presents the first efficient algorithm for super-stable matchings in SPA-ST and explores the impact of ties on the existence of these matchings.
Findings
Super-stable matchings are more likely when ties are only in lecturers' preferences.
The algorithm runs in linear time relative to preference list length.
Super-stable matchings are often elusive with ties in both students and lecturers.
Abstract
The Student-Project Allocation problem with lecturer preferences over Students (SPA-S) involves assigning students to projects based on student preferences over projects, lecturer preferences over students, and the maximum number of students that each project and lecturer can accommodate. This classical model assumes that each project is offered by one lecturer and that preference lists are strictly ordered. Here, we study a generalisation of SPA-S where ties are allowed in the preference lists of students and lecturers, which we refer to as the Student-Project Allocation problem with lecturer preferences over Students with Ties (SPA-ST). We investigate stable matchings under the most robust definition of stability in this context, namely super-stability. We describe the first polynomial-time algorithm to find a super-stable matching or to report that no such matching exists, given an…
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