IDEAS home Printed from https://ideas.repec.org/a/bla/srbeha/v30y2013i6p716-734.html
   My bibliography  Save this article

On the Phenomenological Reconstruction of Complex Systems—The Scale‐Free Conceptualization Hypothesis

Author

Listed:
  • Gonzalo A. Aranda‐Corral
  • Joaquín Borrego‐Dí­az
  • Juan Galán‐Páez

Abstract

Phenomenological reconstruction of a complex system (CS) from collected and selected data allows us to work with formal models (representations) of the system. The task of building a qualitative model necessitates the formalization of relationships among observations and concrete features. Formal concept analysis can help to understand the conceptual structure behind these qualitative representations by means of the so‐called concept lattices (CLs). The study of these kinds of semantic networks suggests that a strong relationship exists between its topological structure and its soundness/usefulness as a qualitative representation of the CS. The present paper is devoted to this question by presenting the so‐called scale‐free conceptualization hypothesis. The hypothesis claims that a scale‐free distribution of node connectivity appears on the CL associated to complex systems (CLCS) only when two requirements hold: CLCS is useful both to represent qualitative and reliable attributes on the CS, as well as to provide a basis for (qualitatively) successfully reasoning about the CS. Experiments revealed that the topologies of CLCS are similar when the amount of information on the CS is sufficient, whereas it is different in other CLs associated to random formal contexts or to other systems in which some of the former requirements do not hold. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Gonzalo A. Aranda‐Corral & Joaquín Borrego‐Dí­az & Juan Galán‐Páez, 2013. "On the Phenomenological Reconstruction of Complex Systems—The Scale‐Free Conceptualization Hypothesis," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(6), pages 716-734, November.
  • Handle: RePEc:bla:srbeha:v:30:y:2013:i:6:p:716-734
    DOI: 10.1002/sres.2240
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sres.2240
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sres.2240?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
    ---><---

    References listed on IDEAS

    as
    1. Andersson, Patric & Ekman, Mattias & Edman, Jan, 2003. "Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer," SSE/EFI Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.
    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. Erceg, Nikola & Galić, Zvonimir, 2014. "Overconfidence bias and conjunction fallacy in predicting outcomes of football matches," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 52-62.
    2. Kim, Sehoon & Connerton, Timothy Paul & Park, Cheongyeul, 2021. "Exploring the impact of technological disruptions in the automotive retail: A futures studies and systems thinking approach based on causal layered analysis and causal loop diagram," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Caiado, Jorge & Vieira, Aníbal & Bonito, Ana & Reis, Carlos & Fernandes, Francisco, 2006. "Previsão da eficácia ofensiva do futebol profissional: Um caso Português," MPRA Paper 2185, University Library of Munich, Germany.
    4. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.

    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:bla:srbeha:v:30:y:2013:i:6:p:716-734. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/1092-7026 .

    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.