Welcome
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 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
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
Probabilistic Infection Pathways
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