• DocumentCode
    188936
  • Title

    Hierarchical Modeling and Analysis of Social Roles for Collective Decision-Making Support

  • Author

    Bo Wu ; Xiaokang Zhou ; Qun Jin ; Fuhua Lin ; Leung, Henry

  • Author_Institution
    Grad. Sch. of Human Sci., Waseda Univ., Tokorozawa, Japan
  • fYear
    2014
  • fDate
    11-13 Sept. 2014
  • Firstpage
    490
  • Lastpage
    495
  • Abstract
    With the popularity of Social Network Service (SNS) and the increasing of users, individuals´ social roles in a social network have become more and more important in recommendation of the personalized services, and in a collective decision-making process as well. In an SNS system, active users may not represent the major opinions among the whole users, and most of the users´ opinions may be multifarious. In this study, we consider users´ social roles as an important element to support the collective decision-making process. After introducing the social choice theories and collective decision-making model, we present a three-layer model to analyze users´ social roles in a hierarchical way, and utilize it to support the collective decision-making process. A case study for COD (Course-Offering Determination) with an application scenario is demonstrated to show the process of how users´ social roles are utilized to support the collective decision-making.
  • Keywords
    decision making; social networking (online); social sciences; COD; SNS system; active users; collective decision-making process; collective decision-making support; course-offering determination; hierarchical analysis; hierarchical modeling; individual social roles; personalized service recommendation; social choice theory; social network service; user opinions; user social roles; Analytical models; Autonomous agents; Computational modeling; Decision making; Educational institutions; Multi-agent systems; Social network services; SNS; collective decision-making; social media; social roles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2014 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/CIT.2014.95
  • Filename
    6984701