Construction of Network User Behavior Spectrum in Big Data Environment

Studying the behavior patterns of network users is important for understanding the individual needs and identifying the identity of users. In this paper, the behavior patterns of network users are built by constructing the behavior spectrum of network users. Network users' behavior spectrum is constructed by dividing the behaviors of users into perceptual state and physiological state. The perceptual state is divided into other features according to the actual situation. The data of the enterprise is used to establish a method of user behavior spectrum based on perceptual state. The physiological state is represented by the features of mouse behavior. The data of self-built website is used to explore a method of user behavior spectrum based on the physiological state. Finally, an example is used to establish a user's behavior spectrum based on two methods.