IDEAS home Printed from https://ideas.repec.org/a/mup/actaun/actaun_2010058030021.html
   My bibliography  Save this article

Simulating activation propagation in social networks using the graph theory
[Simulace šíření aktivace v sociálních sítích s využitím teorie grafů]

Author

Listed:
  • František Dařena

    (Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika)

  • Alexander Troussov

    (IBM Dublin Centre for Advanced Studies, Dublin, Ireland)

  • Jan Žižka

    (Ústav informatiky, Mendelova univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republika)

Abstract

The social-network formation and analysis is nowadays one of objects that are in a focus of intensive research. The objective of the paper is to suggest the perspective of representing social networks as graphs, with the application of the graph theory to problems connected with studying the network-like structures and to study spreading activation algorithm for reasons of analyzing these structures. The paper presents the process of modeling multidimensional networks by means of directed graphs with several characteristics. The paper also demonstrates using Spreading Activation algorithm as a good method for analyzing multidimensional network with the main focus on recommender systems. The experiments showed that the choice of parameters of the algorithm is crucial, that some kind of constraint should be included and that the algorithm is able to provide a stable environment for simulations with networks.

Suggested Citation

  • František Dařena & Alexander Troussov & Jan Žižka, 2010. "Simulating activation propagation in social networks using the graph theory [Simulace šíření aktivace v sociálních sítích s využitím teorie grafů]," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 58(3), pages 21-28.
  • Handle: RePEc:mup:actaun:actaun_2010058030021
    DOI: 10.11118/actaun201058030021
    as

    Download full text from publisher

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201058030021.html
    Download Restriction: free of charge

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201058030021.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.11118/actaun201058030021?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. Alexander Troussov & František Dařena & Jan Žižka & Denis Parra & Peter Brusilovsky, 2011. "Vectorised Spreading Activation algorithm for centrality measurement," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(7), pages 469-476.

    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:mup:actaun:actaun_2010058030021. 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: Ivo Andrle (email available below). General contact details of provider: https://mendelu.cz/en/ .

    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.