A PKI can be described as a set of technologies, procedures and policies for propagating trust from where it initially exists to where it is needed for authentication in online environments. How the trust propagation takes place under a specific PKI depends on the PKI’s syntactic trust structure which is commonly known as a trust model. However, trust is primarily a semantic concept that can no...

New emerging applications such as e-commerce and peerlo-peer systems require autonomous agents (0 dynamically determine trust in open environments. Trust is a uustec's opinion towards a lruslee established lhrough direct interactions or recommendations. Many research efforts are on trust propagation via recommendations. We investigate lhe trust production problem that determines trust from a se...

Recommender systems are one of the recent inventions to deal with ever growing information overload. Collaborative filtering seems to be the most popular technique in recommender systems. With sufficient background information of item ratings, its performance is promising enough. But research shows that it performs very poor in a cold start situation where previous rating data is sparse. As an ...

The objective of online social networking sites is to make it possible to connect people who share common interests and pursuits across different geographical locations. With this, the concept of trust also comes into perspective as the participants reveal a great quantity of personal information in the Web environment. This work adopts web-based Social Networks as the principle means for study...

A theoretical framework to consensus building within a networked social group is put forward. This article investigates a trust based estimation and aggregation methods as part of a visual consensus model for multiple criteria group decision making with incomplete linguistic information. A novel trust propagation method is proposed to derive trust relationship from an incomplete connected trust...

In this paper, we develop an approach for trust modeling that uses expectations on probability distributions to derive the predicted benefit of a message in a participatory media setting. Our solution addresses the issue of false information propagation in social networking settings by examining the role that global credibility might play when determining peer trustworthiness. We present an ove...

The Internet gives users easy and immediate access to a lot of resources (documents, media, services, etc.). Among this abundance of items, information overload is an evergrowing problem. Recommender systems are one classically proposed solution to cope with this problem. We propose an evolution of trust-based recommender systems that only relies on local information and can be deployed on top ...

1 Partial support was provided by NSF awards ITR-IIS-0326460 and ITR-IDM-0219649 and funding from I.B.M. Contact the authors as {akale1,kolari1,aks1,finin,joshi}@cs.umbc.edu ABSTRACT There is a growing interest in exploring the role of social networks to understand how communities and individuals spread influence. In a densely connected online world, social media and networks have a great poten...