Large-Scale Network Analytics Lab

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.

Headshot of AAII's Professor Ying Zhang
Professor Ying Zhang | Lab Director
Headshot of AAII's Associate Professor Lu Qin
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.

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

 

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.