Fine-Grained View on Bribery for Group Identification

Author:

Boehmer Niclas1,Bredereck Robert1,Knop Dušan2,Luo Junjie1

Affiliation:

1. TU Berlin

2. Czech Technical University in Prague

Abstract

Given a set of individuals qualifying or disqualifying each other, group identification is the task of identifying a socially qualified subgroup of individuals. Social qualification depends on the specific rule used to aggregate individual qualifications. The bribery problem in this context asks how many agents need to change their qualifications in order to change the outcome. Complementing previous results showing polynomial-time solvability or NP-hardness of bribery for various social rules in the constructive (aiming at making specific individuals socially qualified) or destructive (aiming at making specific individuals socially disqualified) setting, we provide a comprehensive picture of the parameterized computational complexity landscape. Conceptually, we also consider a more fine-grained concept of bribery cost, where we ask how many single qualifications need to be changed, and a more general bribery goal that combines the constructive and destructive setting.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Group control for procedural rules: parameterized complexity and consecutive domains;Frontiers of Computer Science;2024-01-22

2. Fine-grained view on bribery for group identification;Autonomous Agents and Multi-Agent Systems;2023-03-24

3. A refined complexity analysis of fair districting over graphs;Autonomous Agents and Multi-Agent Systems;2022-12-28

4. A Quantitative and Qualitative Analysis of the Robustness of (Real-World) Election Winners;Equity and Access in Algorithms, Mechanisms, and Optimization;2022-10-06

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