Balanced and Fair Partitioning of Friends

In the recently introduced model of fair partitioning of friends, there is a set of agents located on the vertices of an underlying graph that indicates the friendships between the agents. The task is to partition the graph into k balanced-sized groups, keeping in mind that the value of an agent for a group is equal to the number of edges they have in that group. The goal is to construct partitions that are "fair", i.e., no agent would like to replace an agent in a different group. We generalize the standard model by considering utilities for the agents that are beyond binary and additive. Having this as our foundation, our contribution is threefold: (a) we adapt several fairness notions that have been developed in the fair division literature to our setting; (b) we give several existence guarantees supported by polynomial-time algorithms; (c) we initiate the study of the computational (and parameterized) complexity of the model and provide an almost complete landscape of the (in)tractability frontier for our fairness concepts.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i13.33503
Citations
1
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
4.98

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article

Balanced and Fair Partitioning of Friends

Šimon Schierreich, Argyrios Deligkas, Eduard Eiben, Dušan Knop et al.
1 citations
Proceedings of the AAAI Conference on Artificial Intelligence
Game Theory and Voting Systems
4.98
article

Balanced and Fair Partitioning of Friends

Šimon Schierreich, Argyrios Deligkas, Eduard Eiben, Dušan Knop, Stavros D. Ioannidis
article en
1 citations

Abstract

In the recently introduced model of fair partitioning of friends, there is a set of agents located on the vertices of an underlying graph that indicates the friendships between the agents. The task is to partition the graph into k balanced-sized groups, keeping in mind that the value of an agent for a group is equal to the number of edges they have in that group. The goal is to construct partitions that are "fair", i.e., no agent would like to replace an agent in a different group. We generalize the standard model by considering utilities for the agents that are beyond binary and additive. Having this as our foundation, our contribution is threefold: (a) we adapt several fairness notions that have been developed in the fair division literature to our setting; (b) we give several existence guarantees supported by polynomial-time algorithms; (c) we initiate the study of the computational (and parameterized) complexity of the model and provide an almost complete landscape of the (in)tractability frontier for our fairness concepts.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(13)
Royal Holloway University of London (GB), City of Prague, Czech Technical University in Prague (CZ)
European Commission, Grantová Agentura České Republiky, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 10%
Game Theory and Voting Systems
4.98
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Balanced and Fair Partitioning of Friends — Šimon Schierreich, Argyrios Deligkas, et al. · Proceedings of the AAAI Conference on Artificial Intelligence (2025) | TGRS Research Map | TGRS