Capacitated Network Bargaining Games: Stability and Structure

Capacitated network bargaining games are popular combinatorial games that involve the structure of matchings in graphs. We show that it is always possible to stabilize unit weight instances of this problem (that is, ensure that they admit a stable outcome) via capacity reduction and edge removal operations without decreasing the total value that the players can get. Furthermore, for general weighted instances, we show that computing a minimum amount of vertex capacity to reduce to make an instance stable is a polynomial time solvable problem. We then exploit this to give approximation results for the NP-hard problem of stabilizing a graph via edge removal operations. Our work extends and generalizes previous results in the literature that deal with a unit capacity version of the problem, using several new arguments. In particular, whereas previous results mainly used combinatorial techniques, we here rely on polyhedral arguments and, more specifically, on the notion of circuits of a polytope. Funding: This work was supported by Toegepaste en Technische Wetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek [Grant VI.Vidi.193.087].

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Publication Details

Journal
Mathematics of Operations Research
Published
2025-06-17
DOI
https://doi.org/10.1287/moor.2024.0668
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
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article

Capacitated Network Bargaining Games: Stability and Structure

Lucy Verberk, Laura Sanità
Mathematics of Operations Research
Game Theory and Voting Systems
article

Capacitated Network Bargaining Games: Stability and Structure

Lucy Verberk, Laura Sanità
article en

Abstract

Capacitated network bargaining games are popular combinatorial games that involve the structure of matchings in graphs. We show that it is always possible to stabilize unit weight instances of this problem (that is, ensure that they admit a stable outcome) via capacity reduction and edge removal operations without decreasing the total value that the players can get. Furthermore, for general weighted instances, we show that computing a minimum amount of vertex capacity to reduce to make an instance stable is a polynomial time solvable problem. We then exploit this to give approximation results for the NP-hard problem of stabilizing a graph via edge removal operations. Our work extends and generalizes previous results in the literature that deal with a unit capacity version of the problem, using several new arguments. In particular, whereas previous results mainly used combinatorial techniques, we here rely on polyhedral arguments and, more specifically, on the notion of circuits of a polytope. Funding: This work was supported by Toegepaste en Technische Wetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek [Grant VI.Vidi.193.087].

Mathematics of Operations Research
Bocconi University (IT), Eindhoven University of Technology (NL)
Openalex Percentile: Top 80%
Game Theory and Voting Systems
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