IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0066199.html
   My bibliography  Save this article

Contagion of Cooperation in Static and Fluid Social Networks

Author

Listed:
  • Jillian J Jordan
  • David G Rand
  • Samuel Arbesman
  • James H Fowler
  • Nicholas A Christakis

Abstract

Cooperation is essential for successful human societies. Thus, understanding how cooperative and selfish behaviors spread from person to person is a topic of theoretical and practical importance. Previous laboratory experiments provide clear evidence of social contagion in the domain of cooperation, both in fixed networks and in randomly shuffled networks, but leave open the possibility of asymmetries in the spread of cooperative and selfish behaviors. Additionally, many real human interaction structures are dynamic: we often have control over whom we interact with. Dynamic networks may differ importantly in the goals and strategic considerations they promote, and thus the question of how cooperative and selfish behaviors spread in dynamic networks remains open. Here, we address these questions with data from a social dilemma laboratory experiment. We measure the contagion of both cooperative and selfish behavior over time across three different network structures that vary in the extent to which they afford individuals control over their network ties. We find that in relatively fixed networks, both cooperative and selfish behaviors are contagious. In contrast, in more dynamic networks, selfish behavior is contagious, but cooperative behavior is not: subjects are fairly likely to switch to cooperation regardless of the behavior of their neighbors. We hypothesize that this insensitivity to the behavior of neighbors in dynamic networks is the result of subjects’ desire to attract new cooperative partners: even if many of one’s current neighbors are defectors, it may still make sense to switch to cooperation. We further hypothesize that selfishness remains contagious in dynamic networks because of the well-documented willingness of cooperators to retaliate against selfishness, even when doing so is costly. These results shed light on the contagion of cooperative behavior in fixed and fluid networks, and have implications for influence-based interventions aiming at increasing cooperative behavior.

Suggested Citation

  • Jillian J Jordan & David G Rand & Samuel Arbesman & James H Fowler & Nicholas A Christakis, 2013. "Contagion of Cooperation in Static and Fluid Social Networks," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
  • Handle: RePEc:plo:pone00:0066199
    DOI: 10.1371/journal.pone.0066199
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0066199
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0066199&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0066199?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
    ---><---

    References listed on IDEAS

    as
    1. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2008. "The Small World of Investing: Board Connections and Mutual Fund Returns," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 951-979, October.
    2. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    3. Drew Fudenberg & Eric Maskin, 2008. "The Folk Theorem In Repeated Games With Discounting Or With Incomplete Information," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 11, pages 209-230, World Scientific Publishing Co. Pte. Ltd..
    4. David G. Rand & Joshua D. Greene & Martin A. Nowak, 2012. "Spontaneous giving and calculated greed," Nature, Nature, vol. 489(7416), pages 427-430, September.
    5. Anna Dreber & David G. Rand & Drew Fudenberg & Martin A. Nowak, 2008. "Winners don’t punish," Nature, Nature, vol. 452(7185), pages 348-351, March.
    6. Rand, David Gertler & Dreber, Anna & Fudenberg, Drew & Ellingson, Tore & Nowak, Martin A., 2009. "Positive Interactions Promote Public Cooperation," Scholarly Articles 3804483, Harvard University Department of Economics.
    7. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    8. Ernst Fehr & Simon Gächter, 2002. "Altruistic punishment in humans," Nature, Nature, vol. 415(6868), pages 137-140, January.
    9. Drew Fudenberg & David G. Rand & Anna Dreber, 2012. "Slow to Anger and Fast to Forgive: Cooperation in an Uncertain World," American Economic Review, American Economic Association, vol. 102(2), pages 720-749, April.
    10. Ofra Amir & David G Rand & Ya'akov Kobi Gal, 2012. "Economic Games on the Internet: The Effect of $1 Stakes," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-4, February.
    11. Matthew O. Jackson, 2009. "Networks and Economic Behavior," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 489-513, May.
    12. Pedro Dal Bo & Guillaume R. Frochette, 2011. "The Evolution of Cooperation in Infinitely Repeated Games: Experimental Evidence," American Economic Review, American Economic Association, vol. 101(1), pages 411-429, February.
    13. Ernst Fehr & Urs Fischbacher, 2003. "The nature of human altruism," Nature, Nature, vol. 425(6960), pages 785-791, October.
    14. Guth, Werner & Schmittberger, Rolf & Schwarze, Bernd, 1982. "An experimental analysis of ultimatum bargaining," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 367-388, December.
    15. Siddharth Suri & Duncan J Watts, 2011. "Cooperation and Contagion in Web-Based, Networked Public Goods Experiments," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-18, March.
    16. Marmaros, David & Sacerdote, Bruce, 2002. "Peer and social networks in job search," European Economic Review, Elsevier, vol. 46(4-5), pages 870-879, May.
    17. Jelena Grujić & Torsten Röhl & Dirk Semmann & Manfred Milinski & Arne Traulsen, 2012. "Consistent Strategy Updating in Spatial and Non-Spatial Behavioral Experiments Does Not Promote Cooperation in Social Networks," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    18. Jelena Grujić & Constanza Fosco & Lourdes Araujo & José A Cuesta & Angel Sánchez, 2010. "Social Experiments in the Mesoscale: Humans Playing a Spatial Prisoner's Dilemma," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    19. Pedro Dal Bó, 2005. "Cooperation under the Shadow of the Future: Experimental Evidence from Infinitely Repeated Games," American Economic Review, American Economic Association, vol. 95(5), pages 1591-1604, December.
    20. Bearman, P.S. & Moody, J., 2004. "Suicide and Friendships among American Adolescents," American Journal of Public Health, American Public Health Association, vol. 94(1), pages 89-95.
    21. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    22. Kristoffel Grechenig & Andreas Nicklisch & Christian Thöni, 2010. "Punishment despite Reasonable Doubt – A Public Goods Experiment with Uncertainty over Contributions," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2010_11, Max Planck Institute for Research on Collective Goods.
    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. Wu, Jianshe & Zhang, Long & Li, Yong & Jiao, Yang, 2016. "Partition signed social networks via clustering dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 568-582.
    2. Stojkoski, Viktor & Karbevski, Marko & Utkovski, Zoran & Basnarkov, Lasko & Kocarev, Ljupco, 2021. "Evolution of cooperation in networked heterogeneous fluctuating environments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    3. Ahmadreza Asgharpourmasouleh & Atiye Sadeghi & Ali Yousofi, 2017. "A Grounded Agent-Based Model of Common Good Production in a Residential Complex: Applying Artificial Experiments," SAGE Open, , vol. 7(4), pages 21582440177, October.
    4. Takahiro Ezaki & Naoki Masuda, 2017. "Reinforcement learning account of network reciprocity," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-8, December.
    5. Pei-Pei Liu & Vasiliy Safin & Barry Yang & Christian C Luhmann, 2015. "Direct and Indirect Influence of Altruistic Behavior in a Social Network," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    6. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    7. Vasiliki Fouka & Soumyajit Mazumder & Marco Tabellini, 2018. "From Immigrants to Americans: Race and Assimilation during the Great Migration," Harvard Business School Working Papers 19-018, Harvard Business School, revised Jun 2019.

    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. Alexander Peysakhovich & David G. Rand, 2016. "Habits of Virtue: Creating Norms of Cooperation and Defection in the Laboratory," Management Science, INFORMS, vol. 62(3), pages 631-647, March.
    2. Rand, David G. & Fudenberg, Drew & Dreber, Anna, 2015. "It's the thought that counts: The role of intentions in noisy repeated games," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 481-499.
    3. Dreber, Anna & Fudenberg, Drew & Rand, David G., 2014. "Who cooperates in repeated games: The role of altruism, inequity aversion, and demographics," Journal of Economic Behavior & Organization, Elsevier, vol. 98(C), pages 41-55.
    4. Luo-Luo Jiang & Matjaž Perc & Attila Szolnoki, 2013. "If Cooperation Is Likely Punish Mildly: Insights from Economic Experiments Based on the Snowdrift Game," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-7, May.
    5. Simon Gaechter & Benedikt Herrmann, 2008. "Reciprocity, culture, and human cooperation: Previous insights and a new cross-cultural experiment," Discussion Papers 2008-14, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    6. Yutaka Kayaba & Hitoshi Matsushima & Tomohisa Toyama, 2016. "Accuracy and Retaliation in Repeated Games with Imperfect Private Monitoring: Experiments and Theory," CARF F-Series CARF-F-381, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Murnighan, J. Keith & Wang, Long, 2016. "The social world as an experimental game," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 80-94.
    8. Manapat, Michael L. & Nowak, Martin A. & Rand, David G., 2013. "Information, irrationality, and the evolution of trust," Journal of Economic Behavior & Organization, Elsevier, vol. 90(S), pages 57-75.
    9. Jillian Jordan & Katherine McAuliffe & David Rand, 2016. "The effects of endowment size and strategy method on third party punishment," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 741-763, December.
    10. Wilson, Alistair J. & Wu, Hong, 2017. "At-will relationships: How an option to walk away affects cooperation and efficiency," Games and Economic Behavior, Elsevier, vol. 102(C), pages 487-507.
    11. Madjid Eshaghi Gordji & Gholamreza Askari, 2018. "Hyper-rational choice theory," Papers 1801.10520, arXiv.org, revised Feb 2018.
    12. Valerio Capraro & David G. Rand, 2018. "Do the Right Thing: Experimental evidence that preferences for moral behavior, rather than equity or efficiency per se, drive human prosociality," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(1), pages 99-111, January.
    13. Eugenio Proto & Aldo Rustichini & Andis Sofianos, 2020. "Intelligence, Errors and Strategic Choices in the Repeated Prisoners Dilemma," Working Papers 2020_07, Business School - Economics, University of Glasgow.
    14. repec:cup:judgdm:v:13:y:2018:i:1:p:99-111 is not listed on IDEAS
    15. Antonio A. Arechar & Simon Gächter & Lucas Molleman, 2018. "Conducting interactive experiments online," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 99-131, March.
    16. Edoardo Gallo & Yohanes E. Riyanto & Nilanjan Roy & Tat-How Teh, 2022. "Cooperation and punishment mechanisms in uncertain and dynamic networks," Papers 2203.04001, arXiv.org.
    17. Ernesto Reuben & Sigrid Suetens, 2012. "Revisiting strategic versus non-strategic cooperation," Experimental Economics, Springer;Economic Science Association, vol. 15(1), pages 24-43, March.
    18. repec:tiu:tiucen:200922 is not listed on IDEAS
    19. repec:dgr:kubcen:200922 is not listed on IDEAS
    20. Jones, Matthew T., 2014. "Strategic complexity and cooperation: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 352-366.
    21. Marco Lambrecht & Eugenio Proto & Aldo Rustichini & Andis Sofianos, 2024. "Intelligence Disclosure and Cooperation in Repeated Interactions," American Economic Journal: Microeconomics, American Economic Association, vol. 16(3), pages 199-231, August.
    22. Gholamreza Askari & Madjid Eshaghi Gordji & Choonkil Park, 2019. "The behavioral model and game theory," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    23. Loerakker, Ben & Bault, Nadège & Hoyer, Maximilian & van Winden, Frans, 2022. "On the Development of Cooperative and Antagonistic Relationships in Public Good Environments. A Model-Based Experimental Study," OSF Preprints wur7c, Center for Open Science.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0066199. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.