中英文科技主题排序相关性的比较研究:以计算机领域为例

Comparative Study of Chinese-English Scientific Topic Ranking Correlations: Computer Science Perspective

主题排序是信息检索、信息组织等情报学核心领域的重要问题,本研究从静态全局角度和动态时间维度上对这一问题进行综合性探索,尝试以出现频率、被引次数、Page Rank值等文献计量学参量为基础,重点对中英文科技主题在各自数据集中的排序相关性进行比较研究。本文的实验研究以ACM(Association for Computing Machinery,美国计算机学会)英文论文数据集和万方数据知识服务平台抽取的中文论文数据集为例,揭示和比较了不同排序方式下和不同时间阶段中的中英文科技主题排序的相关关系以及动态变化特征。实验结果显示,在不同的时间阶段,使用多种排序方法的中英文科技主题排序均存在正相关关系,并且某一历史阶段的英文科技主题排序,随着时间的发展,和不同历史阶段的中文科技主题排序的正相关关系成增强趋势,而不同的排序方式会使得这种正相关增强趋势的作用时间范围发生变化。

Topic ranking is an important issue for information retrieval and organization, and in this study, we coB- ducted a comprehensive exploration of this issue from static global and dynamic historical perspectives, focusing on a comparative study of Chinese-English scientific topic rank correlations in each dataset, which was based on bibli- ometrics such as the frequency, number of citations, and PageRank value. In the experiment, which was conducted on an English dataset extracted from the Association for Computing Machinery （ACM） and a Chinese dataset extracted from the Wanfang knowledge platform, the correlation relationships of Chinese and English topic rankings were re- vealed and compared using different ranking methods in different historical stages, as well as a dynamic change in the features of different correlation relationships. The experiment results show that, at the different historical stages, the Chinese and English topic rankings using different ranking methods all have positive correlations, and that an English topic ranking in a certain historical stage, with the development of time, will have increasing positive correlations with the Chinese topic rankings. Different ranking methods will change the time range of this increasingly positive correlation effect.