• DocumentCode
    1800003
  • Title

    Validating trust models against realworld data sets

  • Author

    Sardana, Neetu ; Cohen, Reuven

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    23-24 July 2014
  • Firstpage
    355
  • Lastpage
    362
  • Abstract
    In order to validate a particular approach to trust modeling, researchers have typically designed simulations in which various multliagent conditions are modeled and tested. Graphs have tracked different measures to demonstrate success of the proposed trust model, including satisfaction of buying agents, profit of selling agents (in e-marketplaces) or the extent to which the simulation matched some ground truth for the user. In this paper we report on an effort to locate and employ existing datasets with information about real users, in order to validate a trust model. We describe how Reddit and Epinions datasets can be put to good use, towards this end. In addition to describing what we did for the validation of our own trust model, we reflect on how other trust modeling researchers may perform a similar process, of benefit for their own empirical studies.
  • Keywords
    graph theory; multi-agent systems; trusted computing; Epinions datasets; Reddit datasets; buying agents; e-marketplaces; graphs; multiagent conditions; selling agents; trust models; Blades; Computational modeling; Data models; Decision making; Educational institutions; Measurement; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security and Trust (PST), 2014 Twelfth Annual International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4799-3502-4
  • Type

    conf

  • DOI
    10.1109/PST.2014.6890960
  • Filename
    6890960