Advanced search of cohesive subgraphs in big graphs

本项目旨在研究高级内聚子图搜索，以及设计高效和可扩展的技术来进行此类搜索。大图上的内聚子图搜索被许多应用所需要，如风险管理、用户行为分析、网络安全、犯罪侦查、社会营销和社区搜索。该项目将开发、分析、实施和评估新的索引和数据处理技术，以支持一组高级内聚子图搜索。这将为下一代金融科技、网络安全、电子商务、犯罪侦查和社交网络分析等许多应用带来重大好处。

This project aims to study advanced cohesive subgraph searches, as well as design efficient and scalable techniques to conduct such searches. Cohesive subgraph search over big graphs is demanded by many applications, such as risk management, analysis of users’ behaviours, cybersecurity, crime detection, social marketing and community search. This project will develop, analyse, implement, and evaluate novel indexing and data processing techniques to support a set of advanced cohesive subgraph searches. This will provide significant benefits to many applications such as the next generation of fintech, cybersecurity, e-commerce, crime detection and social network analysis.