Kazuki Nakajima
Kazuki Nakajima, Assistant Professor

Complex Systems/Network Science/Social Network Analysis/Data Mining
I analyze large-scale and complex social and academic data using advanced mathematical and AI-based methods to understand the intricate structure and dynamic patterns of human interactions. My research ranges from studying social connections on online platforms to exploring diverse collaboration and citation patterns in science. By combining network science, machine learning, and data-driven modeling, I aim to reveal the fundamental mechanisms that shape social systems and knowledge creation, contributing to a deeper understanding of how societies and research communities continuously evolve.

