IDEAS home Printed from https://ideas.repec.org/a/bes/jnlasa/v105i489y2010p59-70.html
   My bibliography  Save this article

How Many People Do You Know?: Efficiently Estimating Personal Network Size

Author

Listed:
  • McCormick, Tyler H.
  • Salganik, Matthew J.
  • Zheng, Tian

Abstract

No abstract is available for this item.

Suggested Citation

  • McCormick, Tyler H. & Salganik, Matthew J. & Zheng, Tian, 2010. "How Many People Do You Know?: Efficiently Estimating Personal Network Size," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 59-70.
    • Handle: RePEc:bes:jnlasa:v:105:i:489:y:2010:p:59-70
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2009.ap08518
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Félix-Medina Martín Humberto, 2021. "Combining Cluster Sampling and Link-Tracing Sampling to Estimate Totals and Means of Hidden Populations in Presence of Heterogeneous Probabilities of Links," Journal of Official Statistics, Sciendo, vol. 37(4), pages 865-905, December.
    2. Alex Carballo-Diéguez & Ivan Balan & Rubén Marone & María A Pando & Curtis Dolezal & Victoria Barreda & Cheng-Shiun Leu & María Mercedes Ávila, 2011. "Use of Respondent Driven Sampling (RDS) Generates a Very Diverse Sample of Men Who Have Sex with Men (MSM) in Buenos Aires, Argentina," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-8, November.
    3. Feehan, Dennis & Son, Vo Hai & Abdul-Quader, Abu, 2021. "Survey methods for estimating the size of weak-tie personal networks," SocArXiv z2t4p, Center for Open Science.
    4. Honoria Ocagli & Danila Azzolina & Giulia Lorenzoni & Silvia Gallipoli & Matteo Martinato & Aslihan S. Acar & Paola Berchialla & Dario Gregori & on behalf of the INCIDENT Study Group, 2021. "Using Social Networks to Estimate the Number of COVID-19 Cases: The Incident (Hidden COVID-19 Cases Network Estimation) Study Protocol," IJERPH, MDPI, vol. 18(11), pages 1-12, May.
    5. Tyler H. McCormick & Tian Zheng, 2015. "Latent Surface Models for Networks Using Aggregated Relational Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1684-1695, December.
    6. Arun G. Chandrasekhar & Paul Goldsmith-Pinkham & Matthew O. Jackson & Samuel Thau, 2021. "Interacting regional policies in containing a disease," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(19), pages 2021520118-, May.
    7. Aparajithan Venkateswaran & Jishnu Das & Tyler H. McCormick, 2023. "Feasible contact tracing," Papers 2312.05718, arXiv.org.
    8. Ids Baalbergen & Eva Jaspers, 2023. "Social Capital and Its Returns as an Explanation for Early Labor Market Success of Majority and Minority Members in the Netherlands," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 53-76, January.
    9. Merli, M. Giovanna & Moody, James & Smith, Jeffrey & Li, Jing & Weir, Sharon & Chen, Xiangsheng, 2015. "Challenges to recruiting population representative samples of female sex workers in China using Respondent Driven Sampling," Social Science & Medicine, Elsevier, vol. 125(C), pages 79-93.
    10. Naomi F. Sugie, 2018. "Utilizing Smartphones to Study Disadvantaged and Hard-to-Reach Groups," Sociological Methods & Research, , vol. 47(3), pages 458-491, August.
    11. Elizabeth Sully & Margaret Giorgio & Selena Anjur-Dietrich, 2020. "Estimating abortion incidence using the network scale-up method," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(56), pages 1651-1684.

    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:bes:jnlasa:v:105:i:489:y:2010:p:59-70. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main .

    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.