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Swap Equilibria under Link and Vertex Destruction

Author

Listed:
  • Lasse Kliemann

    (Department of Computer Science, Kiel University, Christian-Albrechts-Platz 4, 24118 Kiel, Germany)

  • Elmira Shirazi Sheykhdarabadi

    (Department of Computer Science, Kiel University, Christian-Albrechts-Platz 4, 24118 Kiel, Germany)

  • Anand Srivastav

    (Department of Computer Science, Kiel University, Christian-Albrechts-Platz 4, 24118 Kiel, Germany)

Abstract

We initiate the study of the destruction or adversary model (Kliemann 2010) using the swap equilibrium (SE) stability concept (Alon et al., 2010). The destruction model is a network formation game incorporating the robustness of a network under a more or less targeted attack. In addition to bringing in the SE concept, we extend the model from an attack on the edges to an attack on the vertices of the network. We prove structural results and linear upper bounds or super-linear lower bounds on the social cost of SE under different attack scenarios. For the case that the vertex to be destroyed is chosen uniformly at random from the set of max-sep vertices (i.e., where each causes a maximum number of separated player pairs), we show that there is no tree SE with only one max-sep vertex. We conjecture that there is no tree SE at all. On the other hand, we show that for the uniform measure, all SE are trees (unless two-connected). This opens a new research direction asking where the transition from “no cycle” to “at least one cycle” occurs when gradually concentrating the measure on the max-sep vertices.

Suggested Citation

  • Lasse Kliemann & Elmira Shirazi Sheykhdarabadi & Anand Srivastav, 2017. "Swap Equilibria under Link and Vertex Destruction," Games, MDPI, vol. 8(1), pages 1-18, February.
  • Handle: RePEc:gam:jgames:v:8:y:2017:i:1:p:14-:d:91061
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    References listed on IDEAS

    as
    1. Bravard, Christophe & Charroin, Liza & Touati, Corinne, 2017. "Optimal design and defense of networks under link attacks," Journal of Mathematical Economics, Elsevier, vol. 68(C), pages 62-79.
    2. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    3. Lasse Kliemann, 2011. "The Price of Anarchy for Network Formation in an Adversary Model," Games, MDPI, vol. 2(3), pages 1-31, August.
    4. Marco Lübbecke & Arie Koster & Peter Letmathe & Reinhard Madlener & Britta Peis & Grit Walther (ed.), 2016. "Operations Research Proceedings 2014," Operations Research Proceedings, Springer, edition 1, number 978-3-319-28697-6, March.
    5. Britta Hoyer & Kris De Jaegher, 2016. "Strategic Network Disruption and Defense," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 18(5), pages 802-830, October.
    6. Haller, Hans & Sarangi, Sudipta, 2005. "Nash networks with heterogeneous links," Mathematical Social Sciences, Elsevier, vol. 50(2), pages 181-201, September.
    7. Lasse Kliemann, 2016. "Price of Anarchy in the Link Destruction (Adversary) Model," Operations Research Proceedings, in: Marco Lübbecke & Arie Koster & Peter Letmathe & Reinhard Madlener & Britta Peis & Grit Walther (ed.), Operations Research Proceedings 2014, edition 1, pages 285-291, Springer.
    8. Sudipta Sarangi & H. Haller, 2003. "Nash Networks with Heterogeneous Agents," Departmental Working Papers 2003-06, Department of Economics, Louisiana State University.
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