地点：中科院数学与系统科学研究院 南楼222会议室

This talk introduces a study toward users’ clicks and replies behavior with real data from Tianya BBS (Tianya Zatan board). We investigate the underlying statistics of clicks and replies, unravel the mechanism of the collective novelty decay and provide a probabilistic model to describe the users’ cumulative clicking patterns. We find that the amount of clicks of the posts satisfy Geometric Brownian Motion and log-normal distribution, both the collective novelty and inter-replying time have an exponential decaying characteristic, and the amount of replies and clicks follow the power law distribution. Finally, sensation-stimulus law of psychophysics is used to explain the correlation between clicks and replies. The findings provide valuable insights for the collective online visiting behaviors, as well as an empirical and theoretic understanding for the massive online attention decaying principle.