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Many-to-one stable matching for prediction in social networks

  • Beihang University
  • University of Toronto
  • Codemao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Stable matching investigates how to pair elements of two disjoint sets with the purpose to achieve a matching that satisfies all participants based on their preference lists. In this paper, we consider the case of matching with incomplete information in a social network where agents are not fully connected. A new many-to-one matching algorithm is proposed based on the classical Gale-Shapley algorithm with constraints of given network topology. In simulated experiments, we find that the matching outcomes in scale-free networks yield the best average utility with least connective costs compared to other structured networks in one-to-one problems. But in many-to-one matching cases, network structure has no significant influence on matching utilities. We also apply the new matching model to a real-world social network matching problem and we find a significant increase of accuracy in matching pair prediction comparing to classical methods.

Original languageEnglish
Title of host publicationTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings
EditorsHamido Fujita, Jun Sasaki, Philippe Fournier-Viger, Moonis Ali
PublisherSpringer Science and Business Media Deutschland GmbH
Pages345-356
Number of pages12
ISBN (Print)9783030557881
DOIs
StatePublished - 2020
Event33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020 - Kitakyushu, Japan
Duration: 22 Sep 202025 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12144 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020
Country/TerritoryJapan
CityKitakyushu
Period22/09/2025/09/20

Keywords

  • Gale-Shapley algorithm
  • Many-to-one matching
  • One-to-one matching
  • Stable matching

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