IDEAS home Printed from https://ideas.repec.org/p/lvl/lacicr/0903.html
   My bibliography  Save this paper

Diversity and Popularity in Social Networks

Author

Listed:
  • Yann Bramoullé
  • Brian W. Rogers

Abstract

Homophily, the tendency of linked agents to have similar characteristics, is an important feature of social networks. We present a new model of network formation that allows the linking process to depend on individuals types and study the impact of such a bias on the network structure. Our main results fall into three categories: (i) we compare the distributions of intra- and inter-group links in terms of stochastic dominance, (ii) we show how, at the group level, homophily depends on the groups size and the details of the formation process, and (iii) we understand precisely the determinants of local homophily at the individual level. Especially, we find that popular individuals have more diverse networks. Our results are supported empirically in the AddHealth data looking at networks of social connections between boys and girls.

Suggested Citation

  • Yann Bramoullé & Brian W. Rogers, 2009. "Diversity and Popularity in Social Networks," Cahiers de recherche 0903, CIRPEE.
    • Handle: RePEc:lvl:lacicr:0903
    as

    Download full text from publisher

    File URL: http://www.cirpee.org/fileadmin/documents/Cahiers_2009/CIRPEE09-03.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
    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. Anthony Edo & Nicolas Jacquemet & Constantine Yannelis, 2019. "Language skills and homophilous hiring discrimination: Evidence from gender and racially differentiated applications," Review of Economics of the Household, Springer, vol. 17(1), pages 349-376, March.
    2. Jaromir Kovarik & Marco J. van der Leij, 2011. "Risk Aversion and Social Networks," Tinbergen Institute Discussion Papers 11-072/1, Tinbergen Institute.
    3. Zenou, Yves & De Martí, Joan, 2009. "Ethnic Identity and Social Distance in Friendship Formation," CEPR Discussion Papers 7566, C.E.P.R. Discussion Papers.
    4. Thomas Chaney, 2014. "The Network Structure of International Trade," American Economic Review, American Economic Association, vol. 104(11), pages 3600-3634, November.
    5. Alexia Gaudeul & Caterina Giannetti, 2011. "The role of reciprocation in social network formation, with an application to blogging," Jena Economics Research Papers 2011-015, Friedrich-Schiller-University Jena.
    6. Liza Charroin, 2016. "The effect of sequentiality and heterogeneity in network formation games," Working Papers 1629, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    7. repec:hal:spmain:info:hdl:2441/7an8r1ubqs93caeqs80puld0tp is not listed on IDEAS
    8. Alger, Ingela & Weibull, Jörgen W., 2016. "Evolution and Kantian morality," Games and Economic Behavior, Elsevier, vol. 98(C), pages 56-67.
    9. , David, 2016. "The formation of networks with local spillovers and limited observability," Theoretical Economics, Econometric Society, vol. 11(3), September.
    10. de Marti, Joan & Zenou, Yves, 2011. "Identity and Social Distance in Friendship Formation," Research Papers in Economics 2011:13, Stockholm University, Department of Economics.
    11. Yann Bramoullé & Bernard Fortin, 2009. "The Econometrics of Social Networks," Cahiers de recherche 0913, CIRPEE.

    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. Marco Battaglini & Eleonora Patacchini & Edoardo Rainone, 2019. "Endogenous Social Connections in Legislatures," NBER Working Papers 25988, National Bureau of Economic Research, Inc.
    2. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    3. Anthony Edo & Nicolas Jacquemet & Constantine Yannelis, 2019. "Language skills and homophilous hiring discrimination: Evidence from gender and racially differentiated applications," Review of Economics of the Household, Springer, vol. 17(1), pages 349-376, March.
    4. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    5. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    6. Lorenzo Ductor & Sanjeev Goyal & Anja Prummer, 2018. "Gender & Collaboration," Working Papers 856, Queen Mary University of London, School of Economics and Finance.
    7. Cilem Selin Hazir & Corinne Autant-Bernard, 2012. "Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology," Working Papers 1212, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    8. Laurent R. Bergé, 2017. "Network proximity in the geography of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 785-815, November.
    9. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
    10. Rediet Abebe & Nicole Immorlica & Jon Kleinberg & Brendan Lucier & Ali Shirali, 2022. "On the Effect of Triadic Closure on Network Segregation," Papers 2205.13658, arXiv.org.
    11. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 617-646.
    12. Marcus Berliant & Axel H. Watanabe, 2018. "A scale‐free transportation network explains the city‐size distribution," Quantitative Economics, Econometric Society, vol. 9(3), pages 1419-1451, November.
    13. Roland Pongou & Roberto Serrano, 2009. "A Dynamic Theory of Fidelity Networks with an Application to the Spread of HIV/AIDS," Working Papers 2009-2, Brown University, Department of Economics.
    14. Erzo G. J. Luttmer, 2006. "Consumer search and firm growth," Working Papers 645, Federal Reserve Bank of Minneapolis.
    15. Gabrielle Demange, 2012. "On the influence of a ranking system," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 39(2), pages 431-455, July.
    16. Mundt, Philipp, 2021. "The formation of input–output architecture: Evidence from the European Union," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 89-104.
    17. Lili Wang & Yong Zhao, 2013. "Does Experience Facilitate Entry into New Export Destinations?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(5), pages 36-59, September.
    18. Fosco, Constanza & Mengel, Friederike, 2011. "Cooperation through imitation and exclusion in networks," Journal of Economic Dynamics and Control, Elsevier, vol. 35(5), pages 641-658, May.
    19. Gualdi, Stanislao & Mandel, Antoine, 2016. "On the emergence of scale-free production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 61-77.
    20. Bolletta, Ugo, 2021. "A model of peer effects in school," Mathematical Social Sciences, Elsevier, vol. 114(C), pages 1-10.

    More about this item

    Keywords

    Social networks; Network formation; Homophily; Diversity;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:lvl:lacicr:0903. 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: Manuel Paradis (email available below). General contact details of provider: https://edirc.repec.org/data/cirpeca.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.