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Coalitional Games on Sparse Social Networks

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Web and Internet Economics (WINE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8877))

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Abstract

We consider coalitional games played on social networks (graphs), where feasible coalitions are associated with connected subsets of agents. We characterize families of graphs that have polynomially many feasible coalitions, and show that the complexity of computing common solution concepts and parameters of coalitional games on social networks is polynomial in the number of feasible coalitions. Also, we establish a connection between coalitional games on social networks and the synergy coalition group representation [5], and provide new complexity results for this representation. In particular, we identify a variant of this representation where computing the cost of stability [2] is easy, but computing the value of the least core [12] is hard.

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References

  1. Aumann, R.J., Dréze, J.: Cooperative games with coalition structures. International Journal of Game Theory 3(4), 217–237 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  2. Bachrach, Y., Elkind, E., Meir, R., Pasechnik, D., Zuckerman, M., Rothe, J., Rosenschein, J.S.: The cost of stability in coalitional games. In: Mavronicolas, M., Papadopoulou, V.G. (eds.) SAGT 2009. LNCS, vol. 5814, pp. 122–134. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Brânzei, R., Dimitrov, D., Tijs, S.: Models in cooperative game theory. Springer (2005)

    Google Scholar 

  4. Chalkiadakis, G., Markakis, E., Jennings, N.R.: Coalitional stability in structured environments. In: AAMAS 2012, pp. 779–786 (2012)

    Google Scholar 

  5. Conitzer, V., Sandholm, T.: Complexity of constructing solutions in the core based on synergies among coalitions. Artificial Intelligence 170, 607–619 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  6. Demange, G.: On group stability in hierarchies and networks. Journal of Political Economy 112(4), 754–778 (2004)

    Article  Google Scholar 

  7. Elkind, E., Pasechnik, D.: Computing the nucleolus of weighted voting games. In: SODA 2009, pp. 327–335 (2009)

    Google Scholar 

  8. Greco, G., Malizia, E., Palopoli, L., Scarcello, F.: On the complexity of the core over coalition structures. In: IJCAI 2011, pp. 216–221 (2011)

    Google Scholar 

  9. Huberman, G.: The nucleolus and essential coalitions. In: Bensoussan, A., Lions, J.L. (eds.) Analysis and Optimization of Systems. LNCIS, vol. 28, pp. 416–422. Springer, Heidelberg (1980)

    Chapter  Google Scholar 

  10. Karpov, D.V.: Spanning trees with many leaves: Lower bounds in terms of the number of vertices of degree 1, 3, and at least 4. Journal of Mathematical Sciences 196(6), 768–783 (2014)

    Article  MATH  MathSciNet  Google Scholar 

  11. Kopelowitz, A.: Computation of the kernels of simple games and the nucleolus of n-person games. Technical report, Hebrew University (1967)

    Google Scholar 

  12. Maschler, M., Peleg, B., Shapley, L.S.: Geometric properties of the kernel, nucleolus, and related solution concepts. Mathematics of Operations Research 4, 303–338 (1979)

    Article  MATH  MathSciNet  Google Scholar 

  13. Meir, R., Zick, Y., Elkind, E., Rosenschein, J.: Bounding the cost of stability in games over interaction networks. In: AAAI 2013, pp. 690–696 (2013)

    Google Scholar 

  14. Myerson, R.: Graphs and cooperation in games. Mathematics of Operations Research 2(3), 225–229 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  15. Ohta, N., Conitzer, V., Ichimura, R., Sakurai, Y., Iwasaki, A., Yokoo, M.: Coalition structure generation utilizing compact characteristic function representations. In: Gent, I.P. (ed.) CP 2009. LNCS, vol. 5732, pp. 623–638. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  16. Schmeidler, D.: The nucleolus of a characteristic function game. SIAM Journal on Applied Mathematics 17, 1163–1170 (1969)

    Article  MATH  MathSciNet  Google Scholar 

  17. Schrijver, A.: Combinatorial Optimization: Polyhedra and Efficiency. Springer (2003)

    Google Scholar 

  18. Shapley, L.S.: A value for n-person games. In: Contributions to the Theory of Games, vol. II, pp. 307–317. Princeton University Press (1953)

    Google Scholar 

  19. Skibski, O., Michalak, T., Rahwan, T., Wooldridge, M.: Algorithms for the Shapley and Myerson values in graph-restricted games. In: AAMAS 2014, pp. 197–204 (2014)

    Google Scholar 

  20. Tardos, É.: A strongly polynomial algorithm to solve combinatorial linear programs. Operations Research 34(2), 250–256 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  21. Voice, T., Ramchurn, S.D., Jennings, N.R.: On coalition formation with sparse synergies. In: AAMAS 2012, pp. 223–230 (2012)

    Google Scholar 

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Elkind, E. (2014). Coalitional Games on Sparse Social Networks. In: Liu, TY., Qi, Q., Ye, Y. (eds) Web and Internet Economics. WINE 2014. Lecture Notes in Computer Science, vol 8877. Springer, Cham. https://doi.org/10.1007/978-3-319-13129-0_25

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  • DOI: https://doi.org/10.1007/978-3-319-13129-0_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13128-3

  • Online ISBN: 978-3-319-13129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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