My research focuses on mining and modeling large social and information networks to study their structural properties (e.g., identifying community structure) and behaviors (e.g., analyzing information diffusion).
​For more details, please check my research statement (last updated: Mar. 2018) and the list of publications.

Structure of Networks
​(Advisor: Jae-Gil Lee)

​- Higher-Order Community Detection in Networks [JSTAT '16] (Qualcomm Innovation Award)
- Community Detection Inspired by Graph Drawing [ICDE '16] (highlighted in KAIST Breakthroughs)
- Community Detection in Multi-Layer Graphs [TIST '17]
- Triangle Counting in Networks [BigComp '15]
- Overlapping Community Detection in Networks [ICDE '14]
* Ph.D. Thesis Research
​* Joint work with Junghoon Kim, Jungeun Kim, Minseo Kang, Seungwoo Ryu, Sejeong Kwon, and Kyomin Jung 

Dynamics on Networks
​(Advisor: Kyomin Jung)

- Opinion Spreading in General Social Networks [in revision]
- Cascade Model in Clustered Networks [EPJB '16] (highlighted in KAIST CT Press)
​- Threshold Model in Arbitrary Networks [EPJB '15]
- Multi-state Diffusion in Networks [PER '13, ComplexNetworks '13, COMNET '14]
​* Joint work with Namju Kwak, Seulki Lee, Joongbo Shin, Inwoo Jung, Byeongjin Choe, Yishi Lin, and J. C. S. Lui

Communication Networks
​(Advisor: Kyomin Jung)

- Routing and Scheduling in Networks  [INFOCOM '12, TON '14] (Samsung Humantech Paper Award)
​* Joint work with Matthew Andrews​
​

Statistical Inference
​(Advisor: Sung-Ho Kim)

- Learning Probabilistic Graphical Models
​* Master's Thesis Research