Trust-Oriented Data Analytics in Online Social Networks

基于信任的数据分析在在线社交网络中对于减少欺骗性交互和增强用户之间的信任至关重要。该项目旨在通过将丰富的社会背景信息作为重要的信任来源，系统地设计创新的解决方案。该项目的预期成果包括从基础角度创新解决方案，以应对在线社交网络中上下文感知信任传播，信任网络搜索/匹配以及可信/恶意用户预测的挑战。这个项目意义重大，因为它将推进知识库，使一个值得信赖的社交网络环境，使数十亿澳大利亚和全球在线社交网络用户受益。

Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trust network searching/matching, and trustworthy/malicious user prediction in online social networks. This project is significant as it will advance the knowledge base for enabling a trustworthy social networking environment, benefiting billions of Australian and worldwide online social network users.