Research on Mining Online Developer Communities at the Mobile Systems and Networking Group at Fudan University

Background

We explore the the behavioral patterns of developers. We study several interesting problems, including the 996 working hour system, user interactions and malicious account detection.

Publications

• Qingyuan Gong, Yushan Liu, Jiayun Zhang, Yang Chen, Qi Li, Yu Xiao, Xin Wang, Pan Hui. Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(10):10633-10649.
• Erzheng Fu, Yingqiu Zhuang, Jianxi Zhang, Jiayun Zhang and Yang Chen*. Understanding the User Interactions on GitHub: A Social Network Perspective. Proc. of the IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD'21), Dalian, China, May 2021.
• Jiayun Zhang, Yang Chen*, Qingyuan Gong, Aaron Yi Ding, Yu Xiao, Xin Wang, Pan Hui. Understanding the Working Time of Developers in IT Companies in China and the United States. IEEE Software, 2021, 38(2):96-106.
• Qingyuan Gong, Jiayun Zhang, Yang Chen*, Qi Li, Yu Xiao, Xin Wang, Pan Hui. Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. Proc. of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), Beijing, China, Nov. 2019.

Datasets

• A GitHub dataset of 10,649,574 users, 118,602,740 commits, and 20,999,258 repositories [Download]