Fractional Hedonic Games

Author:

Aziz Haris1,Brandl Florian2,Brandt Felix2,Harrenstein Paul3,Olsen Martin4,Peters Dominik3

Affiliation:

1. UNSW Sydney and Data61 CSIRO, Sydney NSW, Australia

2. Technical University of Munich, Munich, Germany

3. University of Oxford, Oxford, UK

4. Aarhus University, Herning, Denmark

Abstract

The work we present in this article initiated the formal study of fractional hedonic games (FHGs), coalition formation games in which the utility of a player is the average value he ascribes to the members of his coalition. Among other settings, this covers situations in which players only distinguish between friends and non-friends and desire to be in a coalition in which the fraction of friends is maximal. FHGs thus not only constitute a natural class of succinctly representable coalition formation games but also provide an interesting framework for network clustering. We propose a number of conditions under which the core of FHGs is non-empty and provide algorithms for computing a core stable outcome. By contrast, we show that the core may be empty in other cases, and that it is computationally hard in general to decide non-emptiness of the core.

Funder

European Research Council

Australian Research Council

AOARD

Department of Broadband, Communications and the Digital Economy , Australian Government

Deutsche Forschungsgemeinschaft

Engineering and Physical Sciences Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Mathematics,Marketing,Economics and Econometrics,Statistics and Probability,Computer Science (miscellaneous)

Reference47 articles.

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3. Pareto optimality in coalition formation

4. Computing desirable partitions in additively separable hedonic games

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