IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v123y2020i3d10.1007_s11192-020-03446-0.html
   My bibliography  Save this article

Towards a wider perspective in the social sciences using a network of variables based on thousands of results

Author

Listed:
  • Maayan Zhitomirsky-Geffet

    (Bar-Ilan University)

  • Ofer Bergman

    (Bar-Ilan University)

  • Shir Hilel

    (Bar-Ilan University)

Abstract

This paper addresses the problem of information burying in social sciences, where a large amount of experimental findings reported in multiple scientific articles may be missed by scholars due to the lack of an active accumulation, organization and synthesis of these findings into a centralized information system. To tackle the information burying problem, in this paper we present a new network-based data model and methodology for aggregating, organizing, linking and mining quantitative results published in multiple academic articles in particular sub-fields of social sciences. The goal of the proposed methodology is to provide researchers with a wider perspective when viewing scientific results in their own fields and utilize it for their research. To validate the proposed approach, we conducted a manual experiment with a corpus of 41 scientific articles in the field of personal information management. The experiment indicates that the constructed network-based information system can be effectively used to explore the relationships between the results of various articles, raising new research questions and hypotheses based on results from multiple articles that tested similar variables. The proposed system can serve as a catalyst for the advancement of research in various fields of social science.

Suggested Citation

  • Maayan Zhitomirsky-Geffet & Ofer Bergman & Shir Hilel, 2020. "Towards a wider perspective in the social sciences using a network of variables based on thousands of results," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1385-1406, June.
    • Handle: RePEc:spr:scient:v:123:y:2020:i:3:d:10.1007_s11192-020-03446-0
    DOI: 10.1007/s11192-020-03446-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03446-0
    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/s11192-020-03446-0?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 search for a different version of it.

    References listed on IDEAS

    as
    1. J. Gareth Polhill & Edoardo Pignotti & Nicholas M. Gotts & Pete Edwards & Alun Preece, 2007. "A Semantic Grid Service for Experimentation with an Agent-Based Model of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-2.
    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. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    2. Scott Moss, 2007. "Alternative Approaches to the Empirical Validation of Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-5.
    3. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.

    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:scient:v:123:y:2020:i:3:d:10.1007_s11192-020-03446-0. 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: 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.