경희대학교 경영대학 빅데이터응용학과 김민경 교수입니다.

My research has pursued to model and simulate stochastic processes in the real world, such as disease spread based on human mobility, interdisciplinary citation flow across subfields of sciences, and information diffusion across heterogeneous social networks in online social media or mobile telecommunications. Interestingly, I find that such disparate real-world domains exhibit common nonlinear dynamics, and I am super excited in uncovering underlying mechanisms beyond disciplines.

My PhD study had more focused on understanding topic-sensitive information diffusion patterns across different types of social media in both model-driven and model-free ways.  I obtained my PhD in Computer Science at The Australian National University and Master's degree in Computer Science at University of Southern California.

Research Keywords

Stochastic Point Processes, Statistical Inference, Machine Learning, Graph Neural Networks, Graph Theory, Information Theory,

Diffusion Dynamics, Simulations, Heterogeneous Social Networks, Social Computing, Social Media, Complex Systems

Selected Research Projects

2D and 3D Rotation Representations

Rotation Representations and their Conversions

Soohwan Kim and Minkyoung Kim

IEEE Access, Volume 11, Pages 6682 - 6699, January 2023; doi: 10.1109/ACCESS.2023.3237864 (Featured article)

Topic-sensitive and Time-evolving  Diffusion Curves across Social Media

Dynamics of Macroscopic Diffusion across Meta-populations with Top-down and Bottom-up Approaches: A review

Minkyoung Kim and Soohwan Kim

Mathematical Biosciences and Engineering, Volume 19, Issue 5, pp 4610-4626, March 2022; doi: 10.3934/mbe.2022213 

Novelty Decay in Sciences

Understanding Time-Evolving Citation Dynamics across Fields of Sciences

Minkyoung Kim

Applied Sciences, Volume 10, Issue 17, Number 5846, pp 1-24, August 2020; doi:10.3390/app10175846 

Taxonomy of Diffusion Dynamics

Real-world Diffusion Dynamics based on Point Process Approaches: A Review

Minkyoung Kim, Dean Paini, and Raja Jurdak

Artificial Intelligence Review (AIRE), Volume 53, Issue 1, pp 321-350, January 2020; doi:10.1007/s10462-018-9656-9 

Prediction of Dengue Spreads

Modeling Stochastic Processes in Disease Spread across a Heterogeneous Social System

Minkyoung Kim, Dean Paini, and Raja Jurdak

Proceedings of the National Academy of Sciences (PNAS), Vol. 116, No. 2, January 2019; doi:10.1073/pnas.1801429116 

Selected News Media Coverage:

Dengue Spread

Eureka Prize'19 Finalist

News Media

Modeling Affinity based Popularity Dynamics

Minkyoung Kim, Daniel A. McFarland, and Jure Leskovec

ACM Conference on Information and Knowledge Management (CIKM), 2017

Macro-Level Information Transfer in Social Media: Reflections of Crowd Phenomena

Minkyoung Kim, David Newth, and Peter Christen

Neurocomputing, Vol. 172, January 2016;  doi:10.1016/j.neucom.2014.12.107 

Macro-Level Information Transfer across Social Networks

Minkyoung Kim, David Newth, and Peter Christen

International World Wide Web Conference (WWW), 2014

Modeling Dynamics of Diffusion across Heterogeneous Social Networks: News Diffusion in Social Media

Minkyoung Kim, David Newth, and Peter Christen

Entropy, Vol. 15, No. 10, October 2013; doi:10.3390/e15104215 

Modeling Dynamics of Meta-Populations with a Probabilistic Approach: Global Diffusion in Social Media

Minkyoung Kim, David Newth, and Peter Christen

ACM Conference on Information and Knowledge Management (CIKM), 2013

Event Diffusion Patterns in Social Media

Minkyoung Kim, Lexing Xie, and Peter Christen

International AAAI Conference on Weblogs and Social Media (ICWSM), 2012