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
Link To Document :
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