New Graph Mining Technologies to Enable Timely Exploration of Social Events

新的图挖掘技术能够及时探索社交事件

• 批准号: DP230100899
• 负责人: Dr Jia Wu
• 金额: $ 26.8万
• 依托单位: Macquarie University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100899
• 关键词: New; Graph; Mining; Technologies; Enable

This project aims to develop scalable and effective graph mining techniques for the timely exploration of social events that are the hottest happenings in online information networks. The research will primarily exploit the complex network structures and non-structural properties of streaming social data to report what is happening in a timely fashion. This project will lay the theoretical foundations of this emerging field to strengthen Australia’s world leadership role in data science. Practically, the novel theories and data analytics technologies developed will benefit the Australian economy and society by monitoring emergencies, tracking prevailing sentiments, and spotting investment opportunities through timely event responses.

该项目旨在开发可扩展有效的图形挖掘技术，以及时探索社交活动，这是在线信息网络中最热门的事件。该研究将主要探索流媒体社会数据的复杂网络结构和非结构性属性，以及时报告发生的事情。该项目将奠定这个新兴领域的理论基础，以增强澳大利亚在数据科学中的世界领导角色。实际上，开发的新型理论和数据分析技术将通过监视紧急情况，跟踪主要的情感以及通过及时的事件响应来发现投资机会，从而使澳大利亚经济和社会受益。