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
** Members are alphabetically ordered.
Dabin Kang (강다빈)
Jaehyun Kim (김재현)
Youngmi Kang (강영미)
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
OPen Positions
If you would like to joint the lab, please feel free to email me.