Multilevel Network Games

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Abstract

We consider a multilevel network game, where nodes can improve their communication costs by connecting to a high-speed network. The n nodes are connected by a static network and each node can decide individually to become a gateway to the high-speed network. The goal of a node v is to minimize its private costs, i.e., the sum (SUM-game) or maximum (MAX-game) of communication distances from v to all other nodes plus a fixed price α > 0 if it decides to be a gateway. Between gateways the communication distance is 0, and gateways also improve other nodes’ distances by behaving as shortcuts. For the SUM-game, we show that for α ≤ n - 1, the price of anarchy is (Formula Presented.) and in this range equilibria always exist. In range α ∈ (n-1, n(n-1)) the price of anarchy is Θ(√ α), and for α ≥ n(n - 1) it is constant. For the MAX-game, we show that the price of anarchy is either Θ (1 + n/ √ α), for α ≥ 1, or else 1. Given a graph with girth of at least 4α, equilibria always exist. Concerning the dynamics, both games are not potential games. For the SUM-game, we even show that it is not weakly acyclic.

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Abshoff, S., Cord-Landwehr, A., Jung, D., & Skopalik, A. (2014). Multilevel Network Games. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8877, 435–440. https://doi.org/10.1007/978-3-319-13129-0_36

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