Summary
The paper studies network formation in undirected graphs. We assume a two-stage game: agents propose connections that if realized have a fixed cost; then, given the obtained graph and its exogenous surplus (the value function), they bargain on the split. We claim that, when the surplus from connections is super-additive, the bargaining process can be solved with the Myerson Value allocation rule, an adaptation of Shapley’s to graphs. This will lead to an (only theoretically, not in computations) easy characterisation of equilibria, refining the notion of pairwise stability.
We then focus our attention on the heuristical analysis of a tractable case. We run simulations, starting from different initial conditions, in order to qualitatively characterize alternative possible equilibria. For part of this last purpose we are using the simulated annealing approach, with theoretical justification for its adoption.
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References
Albert R, Barabási AL (1999) Emerging of Scaling in Random Networks. Science 286: 509–512.
Aumann RJ, Myerson RB (1988) Endogenus formation of links between players and coalitions: an application to the Shapley Value. In: Roth A (ed.) The Shapley Value: 175–191, Cambridge University Press.
Dutta B, Jackson MO (2003), On the Formation of Networks and Groups. In Networks and Groups, eds. Dutta B, Jackson MO, 1–16, Springer.
Dutta B, Mutuswami S (1997) Stable Networks. Journal of Economic Theory 76: 322–344.
Erdös P, Rèmyi A (1960), On the Evolution of Random Graphs. Publication of the Mathematical Institute of the Hungarian Academy of Sciences 5: 17–61.
Goyal S, Vega Redondo F (2004) Structural holes in social networks. December 2004 version, http://privatewww.essex.ac.uk/-sgoyal/structuralholes-dec2l.pdf.
Gul F (1989) Bargaining foundations of Shapley value. Econometrica 57: 81–95.
Kirkpatrick S, Gelatt CD, Vecchi M (1983), Optimization by Simulated Annealing. Science 220:671–680.
Jackson MO (2005), Allocation rules for network games. Games and Economic Behavior 51:128–154.
Jackson MO, Rogers BW (2005), Search in the Formation of Large Networks: How Random are Socially Generated Networks?. January 2005 version, http://www.hss.caltech.edu/ jacksonm/netpower.pdf.
Jackson MO, Watts A (2002) The Evolution of Social and Economic Networks. Journal of Economic Theory 106: 265–295.
Jackson MO, Wolinski (1996) A Strategic Model of Social and Economic Networks. Journal of Economic Theory 71: 44–74.
Myerson RB (1977) Graphs and cooperation in games. Mathematics of Operations Research 2:225–229.
Mutuswami S, Winter E (2002) Subscription Mechanism for Network Formation. Journal of Economic Theory 106: 242–264.
von den Nouweland A, Slikker M (2000), Network formation models with costs for establishing links. Review of Economic Studies 5: 333–362.
Watts A (2001), A Dynamic Model of Network Formation. Games and Economic Behavior 34: 331–341.
Watts DJ (1999), Small worlds: the dynamics of networks between order and randomness, Princeton University Press.
Young HP (1998), Individual Strategy and Social Structure, Princeton University Press.
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Pin, P. (2006). A Model of Myerson-Nash Equilibria in Networks. In: Beckmann, M., et al. Artificial Economics. Lecture Notes in Economics and Mathematical Systems, vol 564. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28547-4_15
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DOI: https://doi.org/10.1007/3-540-28547-4_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28578-6
Online ISBN: 978-3-540-28547-2
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