Tree Nash Equilibria in the Network Creation Game

Akaki Mamageishvili, Matús Mihalák, Dominik Müller

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

In the network creation game with n vertices, every vertex (a player) buys a set of adjacent edges, each at a fixed amount α > 0. It has been conjectured that for α ≥ n, every Nash equilibrium is a tree, and has been confirmed for every α ≥ 273·n. We improve upon this bound and show that this is true for every α ≥ 65·n. To show this, we provide new and improved results on the local structure of Nash equilibria. Technically, we show that if there is a cycle in a Nash equilibrium, then α < 65·n. Proving this, we only consider relatively simple strategy changes of the players involved in the cycle. We further show that this simple approach cannot be used to show the desired upper bound α < n (for which a cycle may exist), but conjecture that a slightly worse bound α < 1.3 ·n can be achieved with this approach. Towards this conjecture, we show that if a Nash equilibrium has a cycle of length at most 10, then indeed α < 1.3·n. We further provide experimental evidence suggesting that when the girth of a Nash equilibrium is increasing, the upper bound on α obtained by the simple strategy changes is not increasing. To the end, we investigate the approach for a coalitional variant of Nash equilibrium, where coalitions of two players cannot collectively improve, and show that if α ≥ 41·n, then every such Nash equilibrium is a tree.
Original languageEnglish
Title of host publicationProceedings of the 10th International Workshop on Algorithms and Models for the Web Graph (WAW)
PublisherSpringer Verlag
Pages118-129
Number of pages12
DOIs
Publication statusPublished - 2013

Publication series

SeriesLecture Notes in Computer Science
Volume8305

Cite this

Mamageishvili, A., Mihalák, M., & Müller, D. (2013). Tree Nash Equilibria in the Network Creation Game. In Proceedings of the 10th International Workshop on Algorithms and Models for the Web Graph (WAW) (pp. 118-129). Springer Verlag. Lecture Notes in Computer Science, Vol.. 8305 https://doi.org/10.1007/978-3-319-03536-9_10