IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v488y2012i7412d10.1038_488448a.html
   My bibliography  Save this article

Computational social science: Making the links

Author

Listed:
  • Jim Giles

    (Jim Giles is a freelance writer in San Francisco.)

Abstract

From e-mails to social networks, the digital traces left by life in the modern world are transforming social science.

Suggested Citation

  • Jim Giles, 2012. "Computational social science: Making the links," Nature, Nature, vol. 488(7412), pages 448-450, August.
  • Handle: RePEc:nat:nature:v:488:y:2012:i:7412:d:10.1038_488448a
    DOI: 10.1038/488448a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/488448a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/488448a?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.

    Citations

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


    Cited by:

    1. Young-Ho Eom & Michelangelo Puliga & Jasmina Smailović & Igor Mozetič & Guido Caldarelli, 2015. "Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-17, July.
    2. Klaus Ackermann & Simon D Angus & Paul A Raschky, 2017. "The Internet as Quantitative Social Science Platform: Insights from a Trillion Observations," Papers 1701.05632, arXiv.org.
    3. Federico Botta & Helen Susannah Moat & Tobias Preis, 2020. "Measuring the size of a crowd using Instagram," Environment and Planning B, , vol. 47(9), pages 1690-1703, November.
    4. Yeun-Touh Li & Jan-Dirk Schmöcker, 2017. "Adaptation patterns to high speed rail usage in Taiwan and China," Transportation, Springer, vol. 44(4), pages 807-830, July.
    5. Deokjae Lee & Kyu S Hahn & Soon-Hyung Yook & Juyong Park, 2015. "Quantifying Discrepancies in Opinion Spectra from Online and Offline Networks," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    6. Orzechowski, Kamil P. & Mrowinski, Maciej J. & Fronczak, Agata & Fronczak, Piotr, 2023. "Asymmetry of social interactions and its role in link predictability: The case of coauthorship networks," Journal of Informetrics, Elsevier, vol. 17(2).

    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:nat:nature:v:488:y:2012:i:7412:d:10.1038_488448a. 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.nature.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.