Weighted Random Popular Matchings
Toshiya Itoh, Osamu Watanabe

TL;DR
This paper investigates the existence of weighted popular matchings in a preference-based applicant-item matching problem, providing probabilistic bounds for the existence of such matchings in random instances under certain size and weight conditions.
Contribution
It introduces the concept of k-weighted popular matchings and establishes probabilistic bounds for their existence in random instances, focusing on the 2-weighted case.
Findings
If m/n^{4/3}=o(1), then with high probability no 2-weighted popular matching exists.
If n^{4/3}/m= o(1), then with high probability a 2-weighted popular matching exists.
The results depend on the ratio of items to applicants and the weight disparity.
Abstract
For a set A of n applicants and a set I of m items, we consider a problem of computing a matching of applicants to items, i.e., a function M mapping A to I; here we assume that each applicant provides a preference list on items in I. We say that an applicant prefers an item p than an item q if p is located at a higher position than q in its preference list, and we say that x prefers a matching M over a matching M' if x prefers M(x) over M'(x). For a given matching problem A, I, and preference lists, we say that M is more popular than M' if the number of applicants preferring M over M' is larger than that of applicants preferring M' over M, and M is called a popular matching if there is no other matching that is more popular than M. Here we consider the situation that A is partitioned into , and that each is assigned a weight …
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