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 are alphabetically ordered.

Dabin Kang (강다빈)

Jaehyun Kim (김재현)

Namhoon Cho (조남훈)

Shane Oh (오세인)

Youngmi Kang (강영미)


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.