Paper by Erik D. Demaine

Jean Cardinal, Erik D. Demaine, Samuel Fiorini, Gwenaël Joret, Stefan Langerman, Ilan Newman, and Oren Weimann, “The Stackelberg Minimum Spanning Tree Game”, Algorithmica, volume 59, number 2, 2011, pages 129–144.

We consider a one-round two-player network pricing game, the Stackelberg Minimum Spanning Tree game or StackMST.

The game is played on a graph (representing a network), whose edges are colored either red or blue, and where the red edges have a given fixed cost (representing the competitor's prices). The first player chooses an assignment of prices to the blue edges, and the second player then buys the cheapest possible minimum spanning tree, using any combination of red and blue edges. The goal of the first player is to maximize the total price of purchased blue edges. This game is the minimum spanning tree analog of the well-studied Stackelberg shortest-path game.

We analyze the complexity and approximability of the first player's best strategy in StackMST. In particular, we prove that the problem is APX-hard even if there are only two different red costs, and give an approximation algorithm whose approximation ratio is at most min{k, 1+ln b; 1+ln W}, where k is the number of distinct red costs, b is the number of blue edges, and W is the maximum ratio between red costs. We also give a natural integer linear programming formulation of the problem, and show that the integrality gap of the fractional relaxation asymptotically matches the approximation guarantee of our algorithm.

This paper is also available from SpringerLink.

The paper is 17 pages.

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Related papers:
StackMST_WADS2007 (The Stackelberg Minimum Spanning Tree Game)
StackMST_WINE2009 (The Stackelberg Minimum Spanning Tree Game on Planar and Bounded-Treewidth Graphs)

See also other papers by Erik Demaine.
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Last updated June 22, 2017 by Erik Demaine.