In this article, we describe a new approach that gives an explicit probabilistic interpretation
for social networks. In particular, we focus on the observation that many existing Web-based …

In many computing systems, information is produced and processed by many people.
Knowing how much a user trusts a source can be very useful for aggregating, filtering, and …

Trust systems represent a significant trend in decision support for social networks' service
provision. The basic idea is to allow users to rate each other even without being direct …

The growth of Web-based social networking and the properties of those networks have
created great potential for producing intelligent software that integrates a user's social …

Web-based social networks typically use public trust systems to facilitate interactions
between strangers. These systems can be corrupted by misleading information spread …

A trust metric is a technique for predicting how much a user of a social network might trust
another user. This is especially beneficial in situations where most users are unknown to …

The proliferation of web-based social networks has lead to new innovations in social
networking, particularly by allowing users to describe their relationships beyond a basic …

Trust is a central component of social interactions among humans. Many applications
motivate the consideration of trust evaluation in online social networks (OSNs). Some work …

In social networks, notions such as trust, fondness, or respect between users can be
expressed by associating a strength with each tie. This provides a view of social interaction …

Trust is essential for most social and business networks in the web, and determining local
trust values between two unfamiliar users is an important issue. However, many existing …