Abstract:  Researches on human online information interaction are helpful in systematically understanding human behavior dynamics, and also give theoretical foundation for effective regulation and service of human online information Firstly, through rescaled range analysis, Hurst exponent and V-statistic are calculated, and it is  found that the values of the Hurst exponent are greater than 05, and V-statistic curves show an upward trend, which indicates that the time series of human online information interaction intervals show fractal with self-similarity and long-range dependence. Then, it is found that there is a positive relation between the turning point of V-statistic curve and Hurst exponent, which means greater Hurst exponent means longer noncyclic period of time series The results can provide new ideas and methods for analysis of human online information interaction, and predicting the arrival of new interaction and making effective supervision of public sentiment based on time feature

Key words: online information interaction, Husrt exponent, noncyclic period, fractal