Bin Zhang

Assistant Professor
Department of Information & Operations Management
Affiliated Faculty, Texas A&M Institute of Data Science
Visiting Research Fellow, Carnegie Mellon University


Bin Zhang is an Assistant Professor of Information & Operations Management at Mays Business School. He has joined Texas A&M since July 2021.

Dr. Zhang’s primary research interests are social media analytics and machine learning. He is specifically interested in designing algorithms to analyze large social network and developing deep learning methods to investigate social media content such as text, image and video. His work has been published in premier IS journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, etc. His projects have been funded by federal agencies such as NSF and NIH. Dr. Zhang has extensive teaching experience in Database, Data Mining, Data Analytics, and Programming Languages. All of these courses receive very high evaluation from the students.

Dr. Zhang has served on multiple review panels for NSF, and is the current Vice Chair of INFORMS College of AI. He is also a Visiting Research Fellow affiliated with iLab at Carnegie Mellon University.

Research Interests

Very large social network analysis, statistical modeling for social network problems, social media, technology diffusion and business analytics


Title Year Type

Using “Super Apps” in Online Retailing Operations: Evidence from a Large Hotel Chain

Production and Operations Management

2023 Article

Software Components and Product Variety in a Digital Platform Ecosystem: A Dynamic Network Analysis of WordPress

Information Systems Research

2022 Article

Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach

ACM Transactions on Management Information Systems

2021 Article

Go to YouTube and See Me Tomorrow: Social Media and Self-Care of Chronic Conditions

MIS Quarterly

2020 Article

Understanding E-Cigarette Adoption and Marketing: A Social Media Study

National Institutes of Health

2019 Research Grant

Estimating Contextual Motivating Factors in Virtual Inter-organizational Communities of Practice: Peer Effects and Organizational Influences

Information Systems Research

2018 Article

On Direct vs. Indirect Peer Influences in Large Social Networks

Information Systems Research

2018 Article

Examining Hacker Participation Length within Cybercriminal IRC Communities

Journal of Management Information Systems

2016 Article

The Structure and Dynamics of Generative Innovations: An Organizational Genetics Approach

National Science Foundation

2013 Research Grant