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Minimal two-way flow networks with small decay

Author

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  • De Jaegher, K.
  • Kamphorst, J.J.A.

Abstract

Information decay in networks generates two effects. First, it differentiates how well informed different players within the same component are, and therefore how attractive they are to sponsor links to. Second, players may prefer to sponsor links to players they are already connected to. By focusing on small decay we analyze the first effect in isolation. We characterize the set of Nash equilibrium networks in the two-way flow model of network formation with small decay for any increasing benefit function of the players. The results show that small decay is consistent with two well-known stylized facts, namely that (i) many real world networks have high diameters, and (ii) that the diameter of such networks is typically small relative to the population size. We show that even stochastically stable networks may have any diameter when the benefit function is linear or strictly concave. Finally we study implied stability relations. We find that if any non-empty minimal network is stable, then so is the periphery-sponsored star. With strictly convex benefit functions, we find that other stars tend to be stable for a larger range of parameters than larger diameter networks which satisfy our characterization. However, with strictly concave benefit functions the other stars are stable for a smaller range of parameters than the larger diameter networks.

Suggested Citation

  • De Jaegher, K. & Kamphorst, J.J.A., 2015. "Minimal two-way flow networks with small decay," Journal of Economic Behavior & Organization, Elsevier, vol. 109(C), pages 217-239.
  • Handle: RePEc:eee:jeborg:v:109:y:2015:i:c:p:217-239
    DOI: 10.1016/j.jebo.2014.10.010
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    Cited by:

    1. Banchongsan Charoensook, 2020. "On the Interaction between Small Decay, Agent Heterogeneity and Diameter of Minimal Strict Nash Networks in Two-way Flow Model," Annals of Economics and Finance, Society for AEF, vol. 21(2), pages 331-361, November.
    2. Charroin, Liza, 2023. "Heterogeneity in sequential network formation games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    3. Banchongsan Charoensook, 2022. "A Characterization of Nonminimal Nash Networks in Two-way Flow Model," Annals of Economics and Finance, Society for AEF, vol. 23(2), pages 329-340, November.
    4. Liza Charroin, 2023. "Heterogeneity in sequential network formation games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04931012, HAL.
    5. Billand, Pascal & Bravard, Christophe & Kamphorst, Jurjen & Sarangi, Sudipta, 2017. "Network formation when players seek confirmation of information," Mathematical Social Sciences, Elsevier, vol. 89(C), pages 20-31.
    6. Filippo Vergara Caffarelli, 2017. "One-Way Flow Networks with Decreasing Returns to Linking," Dynamic Games and Applications, Springer, vol. 7(2), pages 323-345, June.
    7. Banchongsan Charoensook, 2025. "On the Tension Between Stability and Efficiency in Two-Way Flow Network with Small Decay," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 162-169.
    8. Liza Charroin, 2023. "Heterogeneity in sequential network formation games," Post-Print hal-04931012, HAL.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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