Title : 
A Computational Trust Framework for Social Computing (A Position Paper for Panel Discussion on Social Computing Foundations)
         
        
            Author : 
Zhan, Justin ; Fang, Xing
         
        
            Author_Institution : 
Nat. Center for the Protection of Financial Infrastruct., Madison, SD, USA
         
        
        
        
        
        
            Abstract : 
Social computing is the backbone of the increasing socialized web applications, which more and more people are tending to intensively rely on. Trust is a critical element for social computing that has been involved into many computational systems. It is a topic intriguing numerous studies. In this paper, we present a novel Computational Trust Framework based on the perspective of information sharing. Our Framework is able to quantify the trust value for a given message. To our best knowledge, this is the first time that trust is measured under information reliability and Entropy. We also explain our work with real-life examples.
         
        
            Keywords : 
security of data; social networking (online); computational system; computational trust framework; entropy; information reliability; information sharing; social computing; socialized web application; Authentication; Computational modeling; Electronic mail; Information filters; Reliability; Social network services; Computational Trust Framework; Entropy; Social Computing; Trust;
         
        
        
        
            Conference_Titel : 
Social Computing (SocialCom), 2010 IEEE Second International Conference on
         
        
            Conference_Location : 
Minneapolis, MN
         
        
            Print_ISBN : 
978-1-4244-8439-3
         
        
            Electronic_ISBN : 
978-0-7695-4211-9
         
        
        
            DOI : 
10.1109/SocialCom.2010.44