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Welfare Loss in Connected Resource Allocation

International Joint Conference on Artificial Intelligence (IJCAI), 2024
Xiaohui Bei
Alexander Lam
Xinhang Lu
Warut Suksompong
Main:28 Pages
4 Figures
Bibliography:3 Pages
2 Tables
Abstract

We study the allocation of indivisible items that form an undirected graph and investigate the worst-case welfare loss when requiring that each agent must receive a connected subgraph. Our focus is on both egalitarian and utilitarian welfare. Specifically, we introduce the concept of egalitarian (resp., utilitarian) price of connectivity, which captures the worst-case ratio between the optimal egalitarian (resp., utilitarian) welfare among all allocations and that among connected allocations. We provide tight or asymptotically tight bounds on the price of connectivity for several large classes of graphs in the case of two agents -- including graphs with vertex connectivity 11 or 22 and complete bipartite graphs -- as well as for paths, stars, and cycles in the general case where the number of agents can be arbitrary.

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