IDEAS home Printed from https://ideas.repec.org/p/ide/wpaper/25167.html

Network Cognition

Author

Listed:
  • Dessi, Roberta
  • Gallo, Edoardo
  • Goyal, Sanjeev

Abstract

We study individual ability to memorize and recall information about friendship networks using a combination of experiments and survey-based data. In the experi- ment subjects are shown a network, in which their location is exogenously assigned, and they are then asked questions about the network after it disappears. We find that subjects exhibit three main cognitive biases: (i) they underestimate the mean degree compared to the actual network; (ii) they overestimate the number of rare degrees; (iii) they underestimate the number of frequent degrees. We then analyze survey data from two `real' friendship networks from a Silicon Valley firm and from a University Research Center. We find, somewhat remarkably, that individuals in these real networks also exhibit these biases. The experiments yield three further findings: (iv) network cognition is affected by the subject's location, (v) the accuracy of network cognition varies with the nature of the network, and (vi) network cognition has a significant effect on economic decisions.

Suggested Citation

  • Dessi, Roberta & Gallo, Edoardo & Goyal, Sanjeev, 2011. "Network Cognition," IDEI Working Papers 691, Institut d'Économie Industrielle (IDEI), Toulouse, revised Nov 2012.
  • Handle: RePEc:ide:wpaper:25167
    as

    Download full text from publisher

    File URL: https://tse-fr.eu/sites/default/files/medias/doc/by/dessi/submission.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Vega-Redondo,Fernando, 2007. "Complex Social Networks," Cambridge Books, Cambridge University Press, number 9780521857406, January.
    2. Sanjeev Goyal, 2007. "Introduction to Connections: An Introduction to the Economics of Networks," Introductory Chapters, in: Connections: An Introduction to the Economics of Networks, Princeton University Press.
    3. Gary Charness & Francesco Feri & Miguel A. Meléndez‐Jiménez & Matthias Sutter, 2014. "Experimental Games on Networks: Underpinnings of Behavior and Equilibrium Selection," Econometrica, Econometric Society, vol. 82(5), pages 1615-1670, September.
    4. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    5. Dessi, Roberta & Rustichini, Aldo, 2011. "Work for Image and Work for Pay," TSE Working Papers 11-252, Toulouse School of Economics (TSE).
    6. Dessi, Roberta & Rustichini, Aldo, 2015. "Strong intrinsic motivation," IDEI Working Papers 847, Institut d'Économie Industrielle (IDEI), Toulouse.
    7. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    8. Uri Gneezy & Aldo Rustichini, 2000. "Pay Enough or Don't Pay at All," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 791-810.
    9. Jackson Matthew O. & Rogers Brian W., 2007. "Relating Network Structure to Diffusion Properties through Stochastic Dominance," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 7(1), pages 1-16, February.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Vega-Redondo,Fernando, 2007. "Complex Social Networks," Cambridge Books, Cambridge University Press, number 9780521674096, January.
    12. Andrea Galeotti & Sanjeev Goyal & Matthew O. Jackson & Fernando Vega-Redondo & Leeat Yariv, 2010. "Network Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 218-244.
    13. Gallo, Edoardo, 2014. "Social learning by chit-chat," Journal of Economic Theory, Elsevier, vol. 153(C), pages 313-343.
    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. Chalotte Saucet & Marie Claire Villeval, 2018. "Motivated Memory in Dictator Games," Working Papers 1804, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Edoardo Gallo & Chang Yan, 2015. "Effciency and equilibrium in network games: An experiment," Cambridge Working Papers in Economics 1546, Faculty of Economics, University of Cambridge.
    3. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    4. Saucet, Charlotte & Villeval, Marie Claire, 2019. "Motivated memory in dictator games," Games and Economic Behavior, Elsevier, vol. 117(C), pages 250-275.
    5. Mira Frick & Ryota Iijima & Yuhta Ishii, 2018. "Dispersed Behavior and Perceptions in Assortative Societies," Cowles Foundation Discussion Papers 2128R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2021.
    6. Gallo Edoardo, 2012. "Small World Networks with Segregation Patterns and Brokers," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-46, September.

    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. Syngjoo Choi & Andrea Galeotti & Sanjeev Goyal, 2017. "Trading in Networks: Theory and Experiments," Journal of the European Economic Association, European Economic Association, vol. 15(4), pages 784-817.
    2. Andrea Galeotti & Luca Paolo Merlino, 2014. "Endogenous Job Contact Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1201-1226, November.
    3. Oyama, Daisuke & Takahashi, Satoru, 2015. "Contagion and uninvadability in local interaction games: The bilingual game and general supermodular games," Journal of Economic Theory, Elsevier, vol. 157(C), pages 100-127.
    4. de Martí, Joan & Zenou, Yves, 2009. "Social Networks," IZA Discussion Papers 4621, Institute of Labor Economics (IZA).
    5. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    6. Marcin Dziubinski & Sanjeev Goyal, 2014. "How to Defend a Network?," Cambridge Working Papers in Economics 1450, Faculty of Economics, University of Cambridge.
    7. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    8. Italo Bischi, Gian & Lamantia, Fabio, 2012. "A dynamic model of oligopoly with R&D externalities along networks. Part II," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 84(C), pages 66-82.
    9. , David, 2016. "The formation of networks with local spillovers and limited observability," Theoretical Economics, Econometric Society, vol. 11(3), September.
    10. Dziubiński, Marcin Konrad & Goyal, Sanjeev, 2017. "How do you defend a network?," Theoretical Economics, Econometric Society, vol. 12(1), January.
    11. López-Pintado, Dunia, 2012. "Influence networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 776-787.
    12. Goyal, S., 2016. "Networks and Markets," Cambridge Working Papers in Economics 1652, Faculty of Economics, University of Cambridge.
    13. Hernández, Penélope & Muñoz-Herrera, Manuel & Sánchez, Ángel, 2013. "Heterogeneous network games: Conflicting preferences," Games and Economic Behavior, Elsevier, vol. 79(C), pages 56-66.
    14. Dunia Lopez-Pintado, 2016. "Influence networks and public goods," UMASS Amherst Economics Working Papers 2016-12, University of Massachusetts Amherst, Department of Economics.
    15. Pablo Branas-Garza & Ramon Cobo-Reyes & Natalia Jimenez & Giovanni Pontiy, 2013. "A Guided Tour to (Real-Life) Social Network Elicitation," Working Papers 13-21, Chapman University, Economic Science Institute.
    16. Pablo Branas-Garza & Natalia Jimenez & Giovanni Ponti, 2017. "Eliciting real-life social networks: a guided tour," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 1(1), pages 33-39, February.
    17. Shupp, Robert & Sheremeta, Roman M. & Schmidt, David & Walker, James, 2013. "Resource allocation contests: Experimental evidence," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 257-267.
    18. Tomohiko Tomohiko, 2015. "Network Heterogeneity and a Coordination Game," Economics Bulletin, AccessEcon, vol. 35(4), pages 2462-2474.
    19. Lea Ellwardt & Penélope Hernández & Guillem Martínez-Canovas & Manuel Muñoz-Herrera, 2014. "Conflict and segregation in networks: An experiment on the interplay between individual preferences and social influence," Discussion Papers in Economic Behaviour 0114, University of Valencia, ERI-CES.
    20. Dunia López-Pintado, 2015. "Influence Networks and Public Goods," Working Papers 15.04, Universidad Pablo de Olavide, Department of Economics.

    More about this item

    JEL classification:

    • Z1 - Other Special Topics - - Cultural Economics

    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:ide:wpaper:25167. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/idtlsfr.html .

    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.