Identifying and Tracking Influential Events in Large Social Networks

识别和跟踪大型社交网络中的有影响力的事件

• 批准号: DP160102412
• 负责人: Prof Chengfei Liu
• 金额: $ 21.8万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160102412
• 关键词: Identifying; Tracking; Influential; Events; Large

This project aims to invent a novel model and techniques for identifying and tracking influential events in large and dynamic social networks in real time. The proposed model would take into account the structure and content of social networks, and the influence of events. The project also plans to develop efficient strategies for identifying and tracking events in large and dynamic social network environments based on the model, In particular, the project plans to investigate flexible social network query methods to make users’ event search easy. Finally the project plans to build an evaluation system to demonstrate the efficiency of the algorithms and effectiveness of the model.

该项目旨在发明一种新的模型和技术，用于实时识别和跟踪大型动态社会网络中有影响力的事件。提出的模型将考虑社会网络的结构和内容，以及事件的影响。项目还计划基于该模型开发大型动态社交网络环境中事件识别和跟踪的高效策略，特别是研究灵活的社交网络查询方法，使用户更容易进行事件搜索。最后，本课题计划建立一个评估系统来证明算法的效率和模型的有效性。