Social Computing Lab
SoCom Lab focuses on uncovering and understanding nonlinear dynamics in complex systems in the real world, such as an event or information diffusion through online social media, infectious disease spread via domestic or international visitors and interdisciplinary knowledge transfer across diverse scholarly fields, based upon a wide spectrum of approaches in data and network science. Relevant topics include the followings but are not limited to:
Spatio-temporal data analytics and visualization
Modeling stochastic processes in the real world
Simulations of time series data
Predicting popularity dynamics
Clustering dynamic social and information networks
Measuring predictability of information
Inferences of diffusion pathways in complex systems
Simulations of spatio-temporal data for real cases
Predictions of popularity dynamics in the real world
Convergence trends across heterogeneous populations
Members
Graduate Students
Hyunkeun Oh (오현근)
MS Student
Dept of Business Administration
Alumni
Sihu Ahn (안시후)
Current Position (2021)
PhD Student, School of Industrial Management Engineering, Korea University
Ikuo Takata (다카타 이쿠오)
Current Position (2021)
Software Engineer, Toyodenso Co., Ltd., Japan
Chiaki Fukumitsu (후쿠미쓰 치아키)
Current Position (2022)
Software Engineer, IBM, Japan
Shane Oh (오세인)
Current Position (2023)
Software Engineer, LifeSemantics, South Korea
Namhoon Cho (조남훈)
OPen Positions
If you would like to join the lab, please feel free to email me.