My research topic is on modeling diffusion processes in diverse domains, such as modeling prediction frameworks for nationwide disease spread incorporating human mobility, for interdisciplinary citation flows across subfields of science, and for information diffusion across heterogeneous social networks in online social media (e.g., Twitter, Facebook, blogs, matinstream news). Interestingly, I find that these distinct domains exhibit common nonlinear dynamics such as bursty event sequences with abrupt or precursory growth patterns by exogenous and endogenous effects on (social) networks. I am super excited in uncovering common underlying mechanisms beyond disciplines.
My PhD research had focused on dynamics of information diffusion, which includes analyzing collective behaviors of online users, developing models for macro-level diffusion mechanisms across different social networks rather than individual nodes, and inferring topic-related information diffusion processes beyond different types of social media. As important real-world domains, I had applied my proposed models to multiple online social networks as well as scientific citation networks. Overall, my PhD research had pursued to understand topic-related information diffusion across heterogeneous social networks in both model-driven and model-free ways.
I obtained my PhD in Computer Science at Australian National University (ANU) and Master's degree in Computer Science at University of Southern California (USC).

Keywords of Research Interests
Stochastic Point Processes, Statistical Inference, Simulation, Optimization, Machine Learning, Non-linear System Dynamics,
Complex Systems, Social Computing, Heterogeneous Social Networks, Social Media Data Analytics, and Information Theory

Selected Research Projects

Real-world diffusion dynamics based on point process approaches: a review

Minkyoung Kim, Dean Paini, and Raja Jurdak
Artificial Intelligence Review, 2018; doi:10.1007/s10462-018-9656-9


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, volume 172, January 2016; 

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, volume 15, number 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