Behavioral profiling for employees using social media: A case study based on wechat

Abstract

With the continuing development and innovation of modern information and communication technologies in recent years, social media platforms, such as WeChat and Microblog, have been witnessed to play a key role in employee management for enterprises or organizations, enabling individual or groups of employees to express their viewpoints or report their works in a real-time fashion. The resulting Cyber-workspace in social media, which exists in parallel with employees' physical workspace, has the potential of greatly changing the forms and functions of the organizations, as well as the knowledge structures and behavioral patterns of employees, thus bringing unprecedented challenges to the existing research efforts on the management of organizational behavior. In this paper, we propose an approach of behavioral profiling for analyzing and better understanding employees, with the input of large amounts of real-time collected data generated by employees' daily reported works on social media. Our aim is to characterize the diversified behavior patterns of employees in an automatic and accurate fashion for organization management. We also validate our proposed method using a real-world dataset collected from WeChat, and the experimental results prove our analysis, as well as the effectiveness of our approach.