• DocumentCode
    1799585
  • Title

    Selection and evolution in narrative ecosystems. A theoretical framework for narrative prediction

  • Author

    Pescatore, Guglielmo ; Innocenti, Veronica ; Brembilla, Paola

  • Author_Institution
    Univ. di Bologna, Bologna, Italy
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this paper is to investigate audiovisual vast narratives according to a new theoretical perspective named narrative ecosystem, a paradigm that encompasses cross-disciplinary perspective on TV series studies. The narrative ecosystem model is a good response to the need for a dynamic model to represent vast narratives, accounting for the interactions of agents, changes and evolutions. What is still lacking, though, is a computational method to make forecasts in the field of TV serial narratives. Through this analysis we will present some theoretical basis drawing on ecological selection and evolution patterns that might be helpful in building a computational method of narrative prediction in our field of interest.
  • Keywords
    digital television; ecology; television broadcasting; TV serial narratives; TV series; agent interaction; audiovisual vast narrative; computational method; dynamic model; ecological selection; evolution pattern; narrative ecosystem model; narrative predictive model; Integrated circuits; Narrative ecosystems; characters; narrative predictive model; vast narratives. evolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICMEW.2014.6890658
  • Filename
    6890658