Human Activity Pattern on Microblogging Interaction

By analyzing the operational data of Sina microblogging, which is the most popular microblogging interactive platform of China, this paper studies the human activity pattern on microblogging interaction, especially analyzes the top fifteen individuals´ behavioral characteristic chosen based on the quantity of their followers. The result shows that an individual´s microblogging pattern has a bursty non-Poisson character, the time interval between consecutive blogs sent obeys power-law distribution, where index of this distribution is 1.4. The result provides a basis for further research on microblogging as an emerging mode of communication, and also provides strong evidence for human dynamics.