IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v403y2021ics009630032100268x.html
   My bibliography  Save this article

Third party interventions mitigate conflicts on interdependent networks

Author

Listed:
  • Song, Zhao
  • Guo, Hao
  • Jia, Danyang
  • Perc, Matjaž
  • Li, Xuelong
  • Wang, Zhen

Abstract

Interventions from third parties, such as governmental agencies or organizations, play an important role in mitigating conflicts in modern human societies. The goal thereby is to pacify disputants, although this is subject to failure on account of self-interest from all involved. To study how relationships between disputants and third parties evolve, we propose an interdependent network model, where one layer is occupied by disputants and the other layer is occupied by third parties. Disputants play a prisoner’s dilemma game, where defection is the dominant strategy, whereas third parties play a snowdrift game, where cooperation and defection coexist more commonly. Moreover, third parties have the ability to mediate a conflict on the other layer by enforcing a snowdrift game onto disputants, for which they can receive a fee. We show that third party interventions improve the evolution of cooperation between disputants, and also, that the improvement of cooperation in turn promotes interventions. Nonetheless, non-intervention does not go extinct, which enables defectors to survive, thus creating a feedback loop between the two networks layers. The evolutionary dynamics is characterized by fascinating spatial pattern formation, which we explore by means of Monte Carlo simulations and via replicator equations.

Suggested Citation

  • Song, Zhao & Guo, Hao & Jia, Danyang & Perc, Matjaž & Li, Xuelong & Wang, Zhen, 2021. "Third party interventions mitigate conflicts on interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 403(C).
  • Handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s009630032100268x
    DOI: 10.1016/j.amc.2021.126178
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630032100268X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2021.126178?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ernst Fehr & Urs Fischbacher, "undated". "Third Party Punishment and Social Norms," IEW - Working Papers 106, Institute for Empirical Research in Economics - University of Zurich.
    2. Molenmaker, Welmer E. & de Kwaadsteniet, Erik W. & van Dijk, Eric, 2014. "On the willingness to costly reward cooperation and punish non-cooperation: The moderating role of type of social dilemma," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 175-183.
    3. Liu, Danna & Huang, Changwei & Dai, Qionglin & Li, Haihong, 2019. "Positive correlation between strategy persistence and teaching ability promotes cooperation in evolutionary Prisoner’s Dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 267-274.
    4. Jia, Danyang & Shen, Chen & Guo, Hao & Chu, Chen & Lu, Jun & Shi, Lei, 2018. "The impact of loners’ participation willingness on cooperation in voluntary prisoner's dilemma," Chaos, Solitons & Fractals, Elsevier, vol. 108(C), pages 218-223.
    5. Charness, Gary & Cobo-Reyes, Ramón & Jiménez, Natalia, 2008. "An investment game with third-party intervention," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 18-28, October.
    6. K. M. Ariful Kabir & Jun Tanimoto & Zhen Wang, 2018. "Influence of bolstering network reciprocity in the evolutionary spatial Prisoner’s Dilemma game: a perspective," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(12), pages 1-10, December.
    7. Conlon, Donald E. & Carnevale, Peter J. & Murnighan, J. Keith, 1994. "Intravention: Third-Party Intervention with Clout," Organizational Behavior and Human Decision Processes, Elsevier, vol. 57(3), pages 387-410, March.
    8. Newton, Jonathan, 2017. "Shared intentions: The evolution of collaboration," Games and Economic Behavior, Elsevier, vol. 104(C), pages 517-534.
    9. Yuval Heller & Erik Mohlin, 2018. "Observations on Cooperation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2253-2282.
    10. Hisashi Ohtsuki & Christoph Hauert & Erez Lieberman & Martin A. Nowak, 2006. "A simple rule for the evolution of cooperation on graphs and social networks," Nature, Nature, vol. 441(7092), pages 502-505, May.
    11. F. Fu & L.-H. Liu & L. Wang, 2007. "Evolutionary Prisoner's Dilemma on heterogeneous Newman-Watts small-world network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 56(4), pages 367-372, April.
    12. Simon D Angus & Jonathan Newton, 2020. "Collaboration leads to cooperation on sparse networks," PLOS Computational Biology, Public Library of Science, vol. 16(1), pages 1-11, January.
    13. Ronald S. Burt & Marc Knez, 1995. "Kinds of Third-Party Effects on Trust," Rationality and Society, , vol. 7(3), pages 255-292, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. You, Tao & Yang, Haochun & Wang, Jian & Zhang, Peng & Chen, Jinchao & Zhang, Ying, 2023. "Cooperative behavior under the influence of multiple experienced guiders in Prisoner’s dilemma game," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    2. Song, Sha & Pan, Qiuhui & Zhu, Wenqiang & He, Mingfeng, 2023. "Evolution of cooperation in games with dual attribute strategy," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    3. Xiaopeng Li & Zhonglin Wang & Jiuqiang Liu & Guihai Yu, 2023. "The Sense of Cooperation on Interdependent Networks Inspired by Influence-Based Self-Organization," Mathematics, MDPI, vol. 11(4), pages 1-16, February.
    4. Guo, Yujie & Zhang, Liming & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2023. "Network adaption based on environment feedback promotes cooperation in co-evolutionary games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 617(C).
    5. Gao, Yanli & Liang, Chongsheng & Zhou, Jie & Chen, Shiming, 2023. "Robustness optimization of aviation-high-speed rail coupling network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fehr, Dietmar & Sutter, Matthias, 2019. "Gossip and the efficiency of interactions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 448-460.
    2. Han, Xu & Zhao, Xiaowei & Xia, Haoxiang, 2022. "Hybrid learning promotes cooperation in the spatial prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    3. Anderberg, Dan & Morsink, Karlijn, 2020. "The introduction of formal insurance and its effect on redistribution," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 22-45.
    4. Marcin, Isabel & Robalo, Pedro & Tausch, Franziska, 2019. "Institutional endogeneity and third-party punishment in social dilemmas," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 243-264.
    5. Nikos Nikiforakis & Helen Mitchell, 2014. "Mixing the carrots with the sticks: third party punishment and reward," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 1-23, March.
    6. Martin Brown & Jan Schmitz & Christian Zehnder, 2023. "Moral Constraints, Social Norm Enforcement and Strategic Default in Weak and Strong Economic Conditions," Working Papers 23.03, Swiss National Bank, Study Center Gerzensee.
    7. Emily Breza & Arun G. Chandrasekhar & Horacio Larreguy, 2014. "Social Structure and Institutional Design: Evidence from a Lab Experiment in the Field," NBER Working Papers 20309, National Bureau of Economic Research, Inc.
    8. Leibbrandt, Andreas & López-Pérez, Raúl, 2012. "An exploration of third and second party punishment in ten simple games," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 753-766.
    9. Fiedler, Marina & Haruvy, Ernan, 2017. "The effect of third party intervention in the trust game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 67(C), pages 65-74.
    10. Charness, Gary & Schram, Arthur, 2012. "Social and Moral Norms in the Laboratory," University of California at Santa Barbara, Economics Working Paper Series qt6rv7x0tf, Department of Economics, UC Santa Barbara.
    11. Guerra, Alice & Zhuravleva, Tatyana, 2021. "Do bystanders react to bribery?," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 442-462.
    12. Ramón Cobo-Reyes & Natalia Jiménez & Ángel Solano García, 2012. "The Effect of Elections on Third-Party Punishment: An experimental Analysis," ThE Papers 12/01, Department of Economic Theory and Economic History of the University of Granada..
    13. Francesco Bogliacino & Laura Jiménez & Gianluca Grimalda, 2015. "Consultative, Democracy and Trust," Documentos de Trabajo, Escuela de Economía 12696, Universidad Nacional de Colombia, FCE, CID.
    14. Bogliacino, Francesco & Codagnone, Cristiano, 2021. "Microfoundations, behaviour, and evolution: Evidence from experiments," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 372-385.
    15. Utsumi, Shinobu & Tatsukawa, Yuichi & Tanimoto, Jun, 2022. "Does a resource-storing mechanism favor “the wealthy do not fight”?—An approach from evolutionary game theory," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    16. Robert Stüber, 2020. "The benefit of the doubt: willful ignorance and altruistic punishment," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 848-872, September.
    17. Christoph Engel & Lilia Zhurakhovska, 2013. "Do Explicit Reasons Make Legal Intervention More Effective? An Experimental Study," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2013_16, Max Planck Institute for Research on Collective Goods, revised Mar 2018.
    18. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    19. Deming Mao & Xiaoyu Li & Dejun Mu & Dujuan Liu & Chen Chu, 2021. "Separated interactive behaviors promote cooperation in the spatial prisoner’s dilemma game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(7), pages 1-9, July.
    20. Vollan, Björn, 2011. "The difference between kinship and friendship: (Field-) experimental evidence on trust and punishment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 14-25, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s009630032100268x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.