Skip to main content
Log in

The Subgame-Consistent Shapley Value for Dynamic Network Games with Shock

  • Published:
Dynamic Games and Applications Aims and scope Submit manuscript

Abstract

In the paper, cooperative repeated network games containing network formation stages are studied. After the first network formation stage, a particular player with a given probability may stop influencing other players by removing all her links and receiving zero payoffs. This effect is called “shock.” The effect of shock may appear only once, and the stage number, at which shock appears, is chosen at random. In the cooperative scenario of the game, subgame consistency of the Shapley value, based on a characteristic function, which is constructed in a special way, is investigated. To prevent players from breaking the cooperative agreement, a mechanism of stage payments—so-called imputation distribution procedure—is designed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. Henceforth, to avoid confusion and simplify understanding, we will not add network formation stages to the number of stages in the game, whereas we will enumerate other stages from 1 to \(\ell \). The game will be considered as an \(\ell \)-stage dynamic game with at most two network formation stages.

  2. It means that starting this moment, all links involving player m are eliminated from the network. However, player m still belongs to set N, but receives zero stage payoffs.

  3. Behavior \((0,{\bar{{\bar{u}}}}_m)\) of player m, who leaves the game after shock, prescribes her to choose control \({\bar{{\bar{u}}}}_m\). However, according to (9), her payoff will be equal to 0 afterward for any of her controls \({\bar{{\bar{u}}}}_m \in U_m\).

References

  1. Bala V, Goyal S (2000) A non-cooperative model of network formation. Econometrica 68(5):1181–1231

    Article  MathSciNet  MATH  Google Scholar 

  2. Corbae D, Duffy J (2008) Experiments with network formation. Games Econ Behav 64:81–120

    Article  MATH  Google Scholar 

  3. Dutta B, Van den Nouweland A, Tijs S (1998) Link formation in cooperative situations. Int J Game Theory 27:245–256

    Article  MathSciNet  MATH  Google Scholar 

  4. Feri F (2007) Stochastic stability in networks with decay. J Econ Theory 135:442–457

    Article  MathSciNet  MATH  Google Scholar 

  5. Galeotti A, Goyal S, Kamphorst J (2006) Network formation with heterogeneous players. Games Econ Behav 54:353–372

    Article  MathSciNet  MATH  Google Scholar 

  6. Goyal S, Vega-Redondo F (2005) Network formation and social coordination. Games Econ Behav 50:178–207

    Article  MathSciNet  MATH  Google Scholar 

  7. Haller H (2012) Network extension. Math Soc Sci 64:166–172

    Article  MathSciNet  MATH  Google Scholar 

  8. Jackson M (2008) Social and economic networks. Princeton University Press, Princeton

    MATH  Google Scholar 

  9. Jackson M, Watts A (2002) On the formation of interaction networks in social coordination games. Games Econ Behav 41(2):265–291

    Article  MathSciNet  MATH  Google Scholar 

  10. Kuhn HW (1953) Extensive games and the problem of information. In: Kuhn HW, Tucker AW (eds) Contributions to the theory of games II. Princeton University Press, Princeton, pp 193–216

    Google Scholar 

  11. Petrosjan LA (2006) Cooperative stochastic games. In: Haurie A, Muto S, Petrosjan LA, Raghavan TES (eds) Advances in dynamic games applications to economics, management science, engineering, and environmental management series: annals of the international society of dynamic games. Basel, Birkhäuser, pp 52–59

    Google Scholar 

  12. Petrosyan LA (1977) Stability of solutions in differential games with many participants. Vestnik Leningradskogo Universiteta. Ser 1. Mat Mekhanika Astron 19:46–52

    Google Scholar 

  13. Petrosyan LA, Sedakov AA, Bochkarev AO (2013) Two-stage network games. Mat Teoriya Igr I Ee Prilozheniya 5(4):84–104

  14. Petrosyan LA, Danilov NN (1979) Stability of solutions in non-zero sum differential games with transferable payoffs. Vestnik Leningradskogo Universiteta. Ser 1. Mat Mekhanika Astron 1:52–59

    MathSciNet  Google Scholar 

  15. Shapley LS (1953) A value for \(N\)-person games. In: Kuhn HW, Tucker AW (eds) Contributions to the theory of games II. Princeton University Press, Princeton, pp 307–317

    Google Scholar 

  16. Vega-Redondo F (2007) Complex social networks. Cambridge University Press, New York

    Book  MATH  Google Scholar 

  17. Watts A (2001) A dynamic model of network formation. Games Econ Behav 34:331–341

    Article  MathSciNet  MATH  Google Scholar 

  18. Xie F, Cui W, Lin J (2013) Prisoners dilemma game on adaptive networks under limited foresight. Complexity 18:38–47

    Article  Google Scholar 

Download references

Acknowledgments

We thank three anonymous referees for their comments that have helped in the improvement of the paper. We also thank the audience of the 20th Conference of the International Federation of Operational Research Societies for helpful discussion and suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Artem Sedakov.

Additional information

The reported study was supported by the Russian Foundation for Basic Research (Projects 13-01-91160, 14-01-31141) and Saint Petersburg State University (Project 9.38.245.2014).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Petrosyan, L., Sedakov, A. The Subgame-Consistent Shapley Value for Dynamic Network Games with Shock. Dyn Games Appl 6, 520–537 (2016). https://doi.org/10.1007/s13235-015-0166-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13235-015-0166-y

Keywords

Mathematics Subject Classification

Navigation