• DocumentCode
    2680620
  • Title

    T-SWEETS: An Alternative to the Stimulus Collaboration from Trust Inference in Social Networks

  • Author

    Silva, Edeilson Milhomem ; Rodrigues, Diego Oliveira ; Gomes de Souza, Jackson ; Salgado, Ana Carolina ; Meira, Silvio Romero Lemos

  • Author_Institution
    Dept. de Comput., Centro Univ. Luterano de Palmas, Palmas, Brazil
  • fYear
    2012
  • fDate
    15-18 Oct. 2012
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    This paper presents a novel method to infer trustiness in social networks entitled T-SWEETS. It is also presents its application at Konnen, a knowledge management platform on social networks based. The features explored in T-SWEETS come from research done on related works from the literature and from an experiment development with a group of 34 people. T-SWEETS have been main purpose to act as an incentive to collaboration in social networks and, therefore, naturally increase the frequency of knowledge dissemination among the users. Thus, it provides background to others automated systems (e.g. recommender systems) and, therefore, the knowledge produced by these users can be explored more efficiently.
  • Keywords
    inference mechanisms; information dissemination; knowledge management; recommender systems; social networking (online); trusted computing; T-SWEETS; knowledge dissemination; knowledge management; recommender systems; social networks; stimulus collaboration; trust inference; Abstracts; Algorithm design and analysis; Collaboration; Knowledge engineering; Knowledge management; Recommender systems; Social network services; algorithm; colaboration; social networks; trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Systems (SBSC), 2012 Brazilian Symposium on
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4673-4696-2
  • Type

    conf

  • DOI
    10.1109/SBSC.2012.28
  • Filename
    6391744