김민경 교수 - 경희대학교 빅데이터응용학과
교수 - 경희대학교 빅데이터응용학과 교수. 빅데이터, AI, 머신러닝 분야 연구.
교수진
김민경 교수
Minkyoung Kim
- 소속빅데이터응용학과(서울)
- 전공컴퓨터과학
- 연구분야소셜컴퓨팅, 소셜 네트워크, 머신러닝, 확산과정 모델링, 빅데이터분석
- 학력Australian National University 공학박사
- 연락처02-961-0650
- 연구실오비스홀 508호(서울)
- 이메일minkkim@khu.ac.kr
- 홈페이지https://www.minkyoung.kim/
대표 논문
- Kim, M., & Leskovec, J. (2019). Modeling stochastic processes in disease spread across a heterogeneous social system. Proceedings of the National Academy of Sciences (PNAS), 116(2), 401–406.
- Kim, M., & Park, H. (2020). Real-world diffusion dynamics based on point process approaches: A review. Artificial Intelligence Review, 53(1), 321–350.
- Kim, M. (2020). Understanding time-evolving citation dynamics across fields of sciences. Applied Sciences, 10(17), 6112.
- Kim, M., & Park, H. (2014). Macro-level information transfer across social networks. Proceedings of the 23rd International Conference on World Wide Web (WWW '14), 321–322.
- Kim, M., McFarland, D. A., & Leskovec, J. (2017). Modeling affinity based popularity dynamics. Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM '17), 123–132.
- Kim, M., & Zhang, Y. (2024). Decoding urban dynamics: Contextual insights from human meta-mobility patterns. Systems, 12(8), 295.