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Network formation and disruption - An experiment are equilibrium networks too complex?

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  • Djawadi, Behnud Mir
  • Endres, Angelika
  • Hoyer, Britta
  • Recker, Sonja

Abstract

Models on network formation have often been extended to include the potential of network disruption in recent years. Whereas the theoretical research on network formation under the threat of disruption has thus gained prominence, hardly any experimental research exists so far. In this paper, we therefore experimentally study the emergence of networks including the aspect of a known external threat by relating theoretical predictions by Dzuibiński and Goyal (2013) to actual observed behaviour. We deal with the question if subjects in the role of a strategic Designer are able to form safe networks for least costs while facing a strategic Adversary who is going to attack their networks. Varying the costs for protecting nodes, we designed and tested two treatments with different predictions for the equilibrium network and investigated whether one of the least cost equilibrium networks was more likely to be reached. Furthermore, the influence of the subjects’ farsightedness on their decision-making process was elicited and analysed.

Suggested Citation

  • Djawadi, Behnud Mir & Endres, Angelika & Hoyer, Britta & Recker, Sonja, 2019. "Network formation and disruption - An experiment are equilibrium networks too complex?," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 708-734.
  • Handle: RePEc:eee:jeborg:v:157:y:2019:i:c:p:708-734
    DOI: 10.1016/j.jebo.2018.11.004
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    References listed on IDEAS

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    Cited by:

    1. Daniel Woods & Mustafa Abdallah & Saurabh Bagchi & Shreyas Sundaram & Timothy Cason, 2022. "Network defense and behavioral biases: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 254-286, February.
    2. Kris De Jaegher, 2021. "Common‐Enemy Effects: Multidisciplinary Antecedents And Economic Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 3-33, February.
    3. Britta Hoyer & Kris De Jaegher, 2023. "Network disruption and the common-enemy effect," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(1), pages 117-155, March.
    4. Haller, Hans & Hoyer, Britta, 2019. "The common enemy effect under strategic network formation and disruption," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 146-163.

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    More about this item

    Keywords

    Networks; Experiment; Network design; Network defence; Network disruption;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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