IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/ys8zw.html
   My bibliography  Save this paper

Tendencies toward triadic closure: Field-experimental evidence

Author

Listed:
  • Mosleh, Mohsen
  • Eckles, Dean

    (MIT)

  • Rand, David Gertler

Abstract

Empirical social networks are characterized by a high degree of triadic closure (i.e. transitivity, clustering), whereby network neighbors of the same individual are also likely to be directly connected. It is unknown to what degree this results from dispositions to form such relationships (i.e. to close open triangles) per se or whether it reflects other processes, such as homophily and more opportunities for exposure. These are difficult to disentangle in many settings, but in social media not only can they be decomposed, but platforms frequently make decisions that can depend on these distinct processes. Here, using a field experiment on social media, we randomize the existing network structure that a user faces when followed by a target account that we control, and we examine whether they reciprocate this tie formation. Being randomly assigned to have an existing tie to an account that follows the target user increases tie formation by 35%. Through the use of multiple control conditions in which the relevant tie is absent (never existent or removed), we are able to attribute this effect specifically to a small variation in the stimulus that indicates the presence (or absence) of a potential mutual follower. Theory suggests that triadic closure should be especially likely in open triads of strong ties, and we find evidence of larger effects when the subject has interacted more with the existing follower. These results indicate a substantial role for dispositions toward triadic closure, which platforms and others can choose to leverage in encouraging tie formation, with implications for network structure and the diffusion of information in online networks.

Suggested Citation

  • Mosleh, Mohsen & Eckles, Dean & Rand, David Gertler, 2024. "Tendencies toward triadic closure: Field-experimental evidence," SocArXiv ys8zw, Center for Open Science.
  • Handle: RePEc:osf:socarx:ys8zw
    DOI: 10.31219/osf.io/ys8zw
    as

    Download full text from publisher

    File URL: https://osf.io/download/65b086e59738190546396fd8/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/ys8zw?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. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    2. Gee, Laura K. & Jones, Jason J. & Fariss, Christopher J. & Burke, Moira & Fowler, James H., 2017. "The paradox of weak ties in 55 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 362-372.
    3. Ray Reagans & Param Vir Singh & Ramayya Krishnan, 2015. "Forgotten Third Parties: Analyzing the Contingent Association Between Unshared Third Parties, Knowledge Overlap, and Knowledge Transfer Relationships with Outsiders," Organization Science, INFORMS, vol. 26(5), pages 1400-1414, October.
    4. Ray Reagans & Ezra W. Zuckerman, 2001. "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, INFORMS, vol. 12(4), pages 502-517, August.
    5. Yin, Hao & Benson, Austin R. & Ugander, Johan, 2020. "Measuring directed triadic closure with closure coefficients," Network Science, Cambridge University Press, vol. 8(4), pages 551-573, December.
    6. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    7. Lynn Wu & Fujie Jin & Lorin M. Hitt, 2018. "Are All Spillovers Created Equal? A Network Perspective on Information Technology Labor Movements," Management Science, INFORMS, vol. 64(7), pages 3168-3186, July.
    8. Adam M. Kleinbaum & Toby E. Stuart & Michael L. Tushman, 2013. "Discretion Within Constraint: Homophily and Structure in a Formal Organization," Organization Science, INFORMS, vol. 24(5), pages 1316-1336, October.
    9. Abigail Z. Jacobs & Duncan J. Watts, 2021. "A Large-Scale Comparative Study of Informal Social Networks in Firms," Management Science, INFORMS, vol. 67(9), pages 5489-5509, September.
    Full references (including those not matched with items on IDEAS)

    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. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    2. Daniel Tzabbar & Jeongsik (Jay) Lee & Donghwi (Josh) Seo, 2022. "Collaborative structure and post‐mobility knowledge spillovers: A dyadic approach," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1728-1762, September.
    3. Casey Ichniowski & Kathryn L. Shaw, 2009. "Connective Capital as Social Capital: The Value of Problem-Solving Networks for Team Players in Firms," NBER Working Papers 15619, National Bureau of Economic Research, Inc.
    4. Kremena Slavova & Andrea Fosfuri & Julio O. De Castro, 2016. "Learning by Hiring: The Effects of Scientists’ Inbound Mobility on Research Performance in Academia," Organization Science, INFORMS, vol. 27(1), pages 72-89, February.
    5. Rajat Khanna & Isin Guler, 2022. "Degree assortativity in collaboration networks and invention performance," Strategic Management Journal, Wiley Blackwell, vol. 43(7), pages 1402-1430, July.
    6. Adam M. Kleinbaum, 2018. "Reorganization and Tie Decay Choices," Management Science, INFORMS, vol. 64(5), pages 2219-2237, May.
    7. Marco Tortoriello & Bill McEvily & David Krackhardt, 2015. "Being a Catalyst of Innovation: The Role of Knowledge Diversity and Network Closure," Organization Science, INFORMS, vol. 26(2), pages 423-438, April.
    8. Hitoshi Mitsuhashi & Azusa Nakamura, 2022. "Pay and networks in organizations: Incentive redesign as a driver of network change," Strategic Management Journal, Wiley Blackwell, vol. 43(2), pages 295-322, February.
    9. Abigail Z. Jacobs & Duncan J. Watts, 2021. "A Large-Scale Comparative Study of Informal Social Networks in Firms," Management Science, INFORMS, vol. 67(9), pages 5489-5509, September.
    10. Hammar, Henrik & Carlsson, Fredrik, 2001. "Smokers' Decisions To Quit Smoking," Working Papers in Economics 59, University of Gothenburg, Department of Economics.
    11. Giuliani, Elisa & Martinelli, Arianna & Rabellotti, Roberta, 2016. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU Inventors," World Development, Elsevier, vol. 77(C), pages 192-205.
    12. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    13. Gautier, Pieter & van Vuuren, Aico & Siegmann, Arjen, 2007. "The Effect of the Theo van Gogh Murder on House Prices in Amsterdam," CEPR Discussion Papers 6175, C.E.P.R. Discussion Papers.
    14. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    15. Hilber, Christian A.L., 2010. "New housing supply and the dilution of social capital," Journal of Urban Economics, Elsevier, vol. 67(3), pages 419-437, May.
    16. Andersson, Fredrik W. & Bokenblom, Mattias & Brantingson, Staffan & Brännström, Susanne Gullberg & Wall, Johan, 2011. "Sick listing—Partly a family phenomenon?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 496-502.
    17. Feng, Yao, 2011. "Local spillovers and learning from neighbors: Evidence from durable adoptions in rural China," MPRA Paper 33924, University Library of Munich, Germany.
    18. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    19. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.
    20. Fang Li & Hongxu Ma & Suyan Shen, 2024. "Volunteering in China: How significant is the peer effect?," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(3), pages 1848-1865, April.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:socarx:ys8zw. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.