About me
I am an Assistant Professor in the Division of Computational Social Science at The Chinese University of Hong Kong, Shenzhen.
My research uses computational methods and social network analysis to study status and inequality, cultural markets, online political communication, and computational measurement. I am especially interested in how public opinion, attention, collaboration, and social status emerge and evolve in cultural and online environments.
Research Areas
Computational Measurement of Social and Political Life: developing and applying computational approaches to measure social structure, online behavior, and public opinion, using social network analysis, machine learning, large-scale digital trace data, and large language models.
Online Political Communication and Platform Governance: studying how political events, platform governance, and online interaction structures shape public discussion, opinion expression, and collective attention in digital environments.
Status, Collaboration, and Cultural Markets: examining how status hierarchies, collaboration networks, and attention dynamics emerge and evolve in cultural markets, with empirical settings including music markets, cultural industries, and online platforms.
Prospective Students
I welcome inquiries from students interested in computational social science, social network analysis, online political communication, cultural markets, and computational measurement. Students with backgrounds in sociology, communication, political science, computer science, statistics, or related fields are encouraged to get in touch. Potential projects may involve large-scale digital trace data, network analysis, machine learning, and large language models for social research.
My name in Chinese is 李宇杰. I am not active on social media platforms such as X/Twitter, Facebook, or Weibo.