Recently, the open review process has attracted the attention of more and more researchers. In order to deeply and quantitatively understand the process, we employ statistical analysis methods, combining human dynamics theory with the assortative mixing analysis of networks to study the process. Our results present the burst characteristics and preference characteristics of authors and reviewers during the review process. Simultaneously, these results demonstrate the irrelevance between the popularity of the manuscript research topic and the manuscript acceptance rate. Moreover, using the assortative mixing analysis method confirmed that the keywords network basically has obvious assortativity. Furthermore, these results suggest that although no inevitable connection between keywords and the acceptance rate of the manuscript, the combination of keywords in the manuscript is influential. Our research results provide useful points for the design of the review system and paper submission. Future work should analyze more data from other disciplines or deconstruct the underlying mechanism of the open review process.

近来，公开评审过程引起了越来越多研究者的关注。为了深入定量地理解这一过程，我们采用统计分析方法，结合人体动力学理论和网络的分类混合分析来研究这一过程。我们的结果呈现了作者和审稿人在审稿过程中的爆发特征和偏好特征。同时，这些结果证明了手稿研究主题的受欢迎程度与手稿接受率之间的无关性。并且，使用分类混合分析方法证实，关键词网络基本具有明显的分类性。此外，这些结果表明，虽然关键词与稿件接受率之间没有必然联系，稿件中关键词的组合是有影响的。我们的研究结果为评审系统的设计和论文提交提供了有用的点。未来的工作应该分析更多来自其他学科的数据或解构开放审查过程的底层机制。