IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0126470.html
   My bibliography  Save this article

Topology Analysis of Social Networks Extracted from Literature

Author

Listed:
  • Michaël C Waumans
  • Thibaut Nicodème
  • Hugues Bersini

Abstract

In a world where complex networks are an increasingly important part of science, it is interesting to question how the new reading of social realities they provide applies to our cultural background and in particular, popular culture. Are authors of successful novels able to reproduce social networks faithful to the ones found in reality? Is there any common trend connecting an author’s oeuvre, or a genre of fiction? Such an analysis could provide new insight on how we, as a culture, perceive human interactions and consume media. The purpose of the work presented in this paper is to define the signature of a novel’s story based on the topological analysis of its social network of characters. For this purpose, an automated tool was built that analyses the dialogs in novels, identifies characters and computes their relationships in a time-dependent manner in order to assess the network’s evolution over the course of the story.

Suggested Citation

  • Michaël C Waumans & Thibaut Nicodème & Hugues Bersini, 2015. "Topology Analysis of Social Networks Extracted from Literature," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-30, June.
    • Handle: RePEc:plo:pone00:0126470
    DOI: 10.1371/journal.pone.0126470
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126470
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0126470&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0126470?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
    ---><---

    Citations

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


    Cited by:

    1. Semi Min & Juyong Park, 2019. "Modeling narrative structure and dynamics with networks, sentiment analysis, and topic modeling," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-20, December.
    2. Gromov, Vasilii A. & Dang, Quynh Nhu, 2023. "Semantic and sentiment trajectories of literary masterpieces," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    3. Laurent Gauthier, 2022. "A Cliometrics and Complexity Perspective on Ancient Greek Culture," Working Papers hal-03315002, HAL.
    4. Laurent Gauthier, 2022. "Sophocles's Play: Greek Theater and Psychological Game Theory," Working Papers hal-03754913, HAL.

    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:plo:pone00:0126470. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.