On processing and knowledge discovery in large dynamic multilayer networks. Multilayer networks contain rich and dynamic interaction information among objects spanning multiple aspects. Properly proce

Description

On processing and knowledge discovery in large dynamic multilayer networks. Multilayer networks contain rich and dynamic interaction information among objects spanning multiple aspects. Properly processing these networks and exploring cohesive information within find many applications and bring challenges as well. This project aims to devise efficient strategies for processing large and dynamic multilayer graphs and investigate different effective methods for searching different cohesive groups in various applications. The theoretic outcomes of this project will set the foundation for building cutting-edge technology for effectively modelling and efficiently searching/tracking interested information in large dynamic multilayer networks and contribute to theoretical foundations in big graph data management.. Scheme: Discovery Projects. Field: 4605 - Data Management and Data Science. Lead: Prof Chengfei Liu