Power and stability in connectivity games

We consider computational aspects of a game theoretic approach to network reliability. Consider a network where failure of one node may disrupt communication between two other nodes. We model this network as a simple coalitional game, called the vertex Connectivity Game (CG). In this game, each agent owns a vertex, and controls all the edges going to and from that vertex. A coalition of agents wins if it fully connects a certain subset of vertices in the graph, called the primary vertices. We show that power indices, which express an agent's ability to affect the outcome of the vertex connectivity game, can be used to identify significant possible points of failure in the communication network, and can thus be used to increase network reliability. We show that in general graphs, calculating the Banzhaf power index is #P-complete, but suggest a polynomial algorithm for calculating this index in trees. We also show a polynomial algorithm for computing the core of a CG, which allows a stable division of payments to coalition agents.

[1]  J. Scott Provan,et al.  The Complexity of Counting Cuts and of Computing the Probability that a Graph is Connected , 1983, SIAM J. Comput..

[2]  Michael Wooldridge,et al.  Computational Complexity of Weighted Threshold Games , 2007, AAAI.

[3]  Dennis Leech,et al.  Voting Power in the Governance of the International Monetary Fund , 2002, Ann. Oper. Res..

[4]  Martin Shubik,et al.  A Method for Evaluating the Distribution of Power in a Committee System , 1954, American Political Science Review.

[5]  Xiaotie Deng,et al.  On the Complexity of Cooperative Solution Concepts , 1994, Math. Oper. Res..

[6]  P. Straffin Homogeneity, independence, and power indices , 1977 .

[7]  A. Laruelle ON THE CHOICE OF A POWER INDEX , 1999 .

[8]  Tomomi Matsui,et al.  NP-completeness for calculating power indices of weighted majority games , 2001, Theor. Comput. Sci..

[9]  Vincent Conitzer,et al.  Coalitional Games in Open Anonymous Environments , 2005, IJCAI.

[10]  T. Matsui,et al.  A SURVEY OF ALGORITHMS FOR CALCULATING POWER INDICES OF WEIGHTED MAJORITY GAMES , 2000 .

[11]  Salil P. Vadhan,et al.  The Complexity of Counting in Sparse, Regular, and Planar Graphs , 2002, SIAM J. Comput..

[12]  Pradeep Dubey,et al.  Mathematical Properties of the Banzhaf Power Index , 1979, Math. Oper. Res..

[13]  Philip Wolfe,et al.  Contributions to the theory of games , 1953 .

[14]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[15]  Joan Feigenbaum,et al.  Sharing the Cost of Multicast Transmissions , 2001, J. Comput. Syst. Sci..

[16]  Leslie G. Valiant,et al.  The Complexity of Enumeration and Reliability Problems , 1979, SIAM J. Comput..

[17]  Dan S. Felsenthal,et al.  The Treaty of Nice and qualified majority voting , 2001, Soc. Choice Welf..

[18]  L. Shapley A Value for n-person Games , 1988 .

[19]  Jeffrey S. Rosenschein,et al.  Computing the Banzhaf power index in network flow games , 2007, AAMAS '07.