Network Science Lab

Network science is a field of study that aims to reveal structural patterns in real-world interaction networks, such as social networks, bibliographic networks, power grids, and others. The Network Science Lab (NS Lab; 네트워크과학연구실), part of the Dept. of AI at CUK, conducts extensive research on a wide range of theories, methodologies, and applications related to collection, representation, and analysis of networked data.

Latest Posts

NS-CUK Winter School on AI Ethics 2022

The Network Science Lab at the Catholic University of Korea is organising a winter school on the ethics of AI and robots. This winter school program consists of 18 lectures given by Dr. Eun-Soon You (유은순 박사) and is scheduled to run for six weeks (Dec 19th, 2022 -- Jan 27th, 2023).

Sangmyeong Lee will join Hanyang University as a graduate student

Sangmyeong Lee will leave the Network Science Lab at the Catholic University of Korea to join Hanyang University as an M.Eng. course student. During the last three months, he has participated in ongoing studies and events in our lab and impressed all the lab members despite the short period.

Ji-Yoon Song and Won-Sik Oh presented papers at KISM 2022

Undergraduate research assistants of the Network Science Lab at the Catholic University of Korea presented two papers at the 2022 Conference of Korea Institute of Smart Media (KISM 2022; 2022년 한국스마트미디어학회 종합학술대회).

Introduction to Network Science Lab

Network Science Lab at The Catholic University of Korea (NS Lab@CUK) studies a broad range of theories and methodologies related to collecting, representing, and analyzing networked data. Since its establishment in September 2021, NS Lab@CUK has dealt with various artificial intelligence and machine learning models for graph mining.

CFP of Computing4Human 2022

The 3rd international conference on human-centered artificial intelligence (Computing4Human) will be held in Hanoi, Vietnam by International School, Vietnam National University, Hanoi and other partners. This year, we will pay more attention to AI applications that can improve citizens’ life qualities.