The large-scale network analytics lab tackles challenging problems in network analytics to explore future directions in the processing and analysis of large-scale networks.
Large-Scale Network Analytics Lab
![Headshot of AAII's Professor Ying Zhang](/sites/default/files/styles/wysiwyg_generic_large_x1/public/2024-01/Photo_YingZHANG_300x300.jpg?itok=Ov5g_8ih)
Professor Ying Zhang | Lab Director
![Headshot of AAII's Associate Professor Lu Qin](/sites/default/files/styles/wysiwyg_generic_large_x1/public/2024-01/Lu%20Qin_300x300.jpg?itok=bNYDIQwo)
Associate Professor Lu Qin | Lab Co-Director
The Large-scale Network Analytics (LNA) Lab focuses on conducting fundamental research to tackle challenging problems in network analytics and explore future directions in the processing and analysis of large-scale networks. The group also aims to establish theoretical foundations for handling large-scale, highly dynamic and complex networks using parallel, distributed, external, and other cloud computing technologies.
![Upper left: Surface of the Earth showing lights from cities. Image: NASA/Unsplash. This image represents mining and analysing large-scale graphs (networks) such as the WWW. Upper right: Large graph model detecting online communities and interconnected relationships;Lower left: Analysis clustering; and Lower right: Analysing clustering in social networks shows sets of interconnected groups or clusters represented by dots (in different colours with lines drawn to represent relationships) between groups.](/sites/default/files/styles/wysiwyg_generic_large_x1/public/2020-07/LSNA%20photos%20for%20web.jpg?itok=qpXCvN1B)
Upper left: Mining and analysing large-scale graphs (networks) such as the World Wide Web, social networks, biological networks or mobile phone networks help to detect patterns in vast datasets with billions of nodes and interconnections between them. Image: NASA / Unsplash.
Upper right: Large graph model detecting online communities and interconnected relationships.
Lower left: Analysis clustering
Lower right: Analysing clustering in social networks