Head:Junfeng Liao

Key Members Junfeng Liao, Yong Xu, Minru Yang, Xinyuan Zhang, Zhihao Zeng, Rundong Li, Huizhong Liao, Zhengyan Yang, Yongyu Liao.

Research Directions:

The research at the Center for Internet Behavior Big Data Studies consists of the following four categories:

1.Internet Personal Behavior Big Data

This category focuses on the analysis of diverse and extensive big data generated by consumers in the digital realm. It encompasses online knowledge consumption, online word-of-mouth communication, e-commerce behavior, and the study of user profiles.

2.Internet Corporate Behavior Big Data

This research area centers on the examination of large datasets resulting from corporate activities conducted online. It involves studying the information released by companies, managing public opinion information, and assessing the impact of corporate brands.

3.Internet Government Behavior Big Data

The research in this field pertains to the collection of government data online, the collaboration between governments, and the behaviors associated with data sharing.

4.Internet Social Behavior Big Data

This domain involves investigating issues related to self-presentation and identity construction through online socialization. It also covers concerns about information disclosure and the dissemination of information in social interactions, including the examination of irrational behaviors observed in the spread of rumors.