IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i5d10.1007_s11135-025-02191-x.html
   My bibliography  Save this article

Measuring personal networks with core discussion network methodology: a case of Russian students

Author

Listed:
  • Oxana Mikhaylova

    (HSE University)

  • Sofia Dokuka

Abstract

This paper explores the use of the Core Discussion Network (CDN) methodology for analyzing personal networks. We discuss the method’s origins and the specifics of its implementation, followed by a brief overview of findings from international studies. Using data collected in 2021 from 270 first-year undergraduate and graduate students at a top-tier Russian university, we present results from an empirical study. The analysis focused on network parameters such as the size and density of ego-alter ties, alongside the socio-demographic characteristics of alters (gender, age, and relationship to ego). Results indicate that the structure of CDNs among Russian students in 2021 closely mirrors that of Ukrainian respondents from prior studies in terms of connection counts, proportions of relatives versus non-relatives, and the percentage of respondents reporting no discussion partners. However, variation coefficients for gender and age were distinct compared to earlier research, though direct comparisons were constrained by inconsistent reporting of standard deviations in existing literature. Our findings highlight the need for standardized metrics in personal network analysis to improve cross-study comparability.

Suggested Citation

  • Oxana Mikhaylova & Sofia Dokuka, 2025. "Measuring personal networks with core discussion network methodology: a case of Russian students," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4077-4095, October.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:5:d:10.1007_s11135-025-02191-x
    DOI: 10.1007/s11135-025-02191-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-025-02191-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-025-02191-x?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:qualqt:v:59:y:2025:i:5:d:10.1007_s11135-025-02191-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.