Guardian: Evaluating trust in online social networks with graph convolutional networks

W Lin, Z Gao, B Li - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
In modern online social networks, each user is typically able to provide a value to indicate
how trustworthy their direct friends are. Inferring such a value of social trust between any pair …

Neuralwalk: Trust assessment in online social networks with neural networks

G Liu, C Li, Q Yang - IEEE INFOCOM 2019-IEEE Conference …, 2019 - ieeexplore.ieee.org
Assessing the trust between users in a trust social network (TSN) isa critical issue in many
applications, eg, film recommendation, spam detection, and online lending. Despite of …

Gatrust: A multi-aspect graph attention network model for trust assessment in osns

N Jiang, J Wen, J Li, X Liu, D Jin - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Social trust assessment that characterizes a pairwise trustworthiness relationship can spur
diversified applications. Extensive efforts have been put in exploration, but mainly focusing …

Understanding graph-based trust evaluation in online social networks: Methodologies and challenges

W Jiang, G Wang, MZA Bhuiyan, J Wu - Acm Computing Surveys (Csur), 2016 - dl.acm.org
Online Social Networks (OSNs) are becoming a popular method of meeting people and
keeping in touch with friends. OSNs resort to trust evaluation models and algorithms to …

Generating trusted graphs for trust evaluation in online social networks

W Jiang, G Wang, J Wu - Future generation computer systems, 2014 - Elsevier
We propose a novel trust framework to address the issue of “Can Alice trust Bob on a
service?” in large online social networks (OSNs). Many models have been proposed for …

Trustgnn: Graph neural network-based trust evaluation via learnable propagative and composable nature

C Huo, D He, C Liang, D Jin, T Qiu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Trust evaluation is critical for many applications such as cyber security, social
communication, and recommender systems. Users and trust relationships among them can …

A multidimensional trust evaluation framework for online social networks based on machine learning

X Chen, Y Yuan, L Lu, J Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the openness of online social networks (OSNs), they have become the most popular
platforms for people to communicate with others in the expectation of sharing their opinions …

Medley: Predicting social trust in time-varying online social networks

W Lin, B Li - IEEE INFOCOM 2021-IEEE Conference on …, 2021 - ieeexplore.ieee.org
Social media, such as Reddit, has become a norm in our daily lives, where users routinely
express their attitude using upvotes (likes) or downvotes. These social interactions may …

Atne-trust: Attributed trust network embedding for trust prediction in online social networks

Q Wang, W Zhao, J Yang, J Wu… - … Conference on Data …, 2020 - ieeexplore.ieee.org
Trust relationship prediction among people provides valuable supports for decision making,
information dissemination, and product promotion in online social networks. Network …

C-DeepTrust: A context-aware deep trust prediction model in online social networks

Q Wang, W Zhao, J Yang, J Wu, S Xue… - … on neural networks …, 2021 - ieeexplore.ieee.org
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 …