Level of Trust can determine which source of information is reliable and with whom we
should share or from whom we should accept information. There are several applications for …

Currently, the accurate prediction of social relationships can effectively reduce the decision‐
making burden of users in various service platforms. However, in the big data environment …

Trust prediction provides valuable support for decision making, information dissemination,
and product promotion in online social networks. As a complex concept in the social network …

Trust relationship prediction among people provides valuable supports for decision making,
information dissemination, and product promotion in online social networks. Network …

Trust prediction in online social networks is crucial for information dissemination, product
promotion, and decision making. Existing work on trust prediction mainly utilizes the network …

With the development of the Internet, smart campus education and online social platforms
have become the mainstream of establishing social relationships. Although many users …

Trust prediction is gaining significant interest since it could reduce the burden of user
decision-makings effectively in various social activities. Existing works on trust prediction …

In online social networks, trust prediction is crucial for applications such as user decision-
making and high-impact user recommendation. In recent years, various solutions to the trust …

Trust can be employed for finding reliable information in Online Social Networks (OSNs).
Since users in OSNs may intentionally change their behavior over time (in some cases for …

Trust can be defined as a measure to determine which source of information is reliable and
with whom we should share or from whom we should accept information. There are several …