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On nash equilibria for a network creation game

Published:22 January 2006Publication History

ABSTRACT

We study a network creation game recently proposed by Fabrikant, Luthra, Maneva, Papadimitriou and Shenker. In this game, each player (vertex) can create links (edges) to other players at a cost of α per edge. The goal of every player is to minimize the sum consisting of (a) the cost of the links he has created and (b) the sum of the distances to all other players.Fabrikant et al. conjectured that there exists a constant A such that, for any α > A, all non-transient Nash equilibria graphs are trees. They showed that if a Nash equilibrium is a tree, the price of anarchy is constant. In this paper we disprove the tree conjecture. More precisely, we show that for any positive integer n0, there exists a graph built by nn0 players which contains cycles and forms a non-transient Nash equilibrium, for any α with 1 < α ≤ √n/2. Our construction makes use of some interesting results on finite affine planes. On the other hand we show that, for α ≥ 12n[log n], every Nash equilibrium forms a tree.Without relying on the tree conjecture, Fabrikant et al. proved an upper bound on the price of anarchy of O(√α), where α ∈ [2, n2]. We improve this bound. Specifically, we derive a constant upper bound for α ∈ O(√n) and for α ≥ 12n[log n]. For the intermediate values we derive an improved bound of O(1 + (min{α2/n, n2/α})1/3).Additionally, we develop characterizations of Nash equilibria and extend our results to a weighted network creation game as well as to scenarios with cost sharing.

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            • Published in

              cover image ACM Conferences
              SODA '06: Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
              January 2006
              1261 pages
              ISBN:0898716055

              Publisher

              Society for Industrial and Applied Mathematics

              United States

              Publication History

              • Published: 22 January 2006

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              Acceptance Rates

              Overall Acceptance Rate411of1,322submissions,31%

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