Scientometrics:解开主题
Scientometrics: Untangling the topics
摘要:
衡量科学的基础是将文章与类似的文章进行比较。然而,基于关键词的主题相似的文章组占主导地位的小。这些小尺寸使比较的统计误差很高。随着书目数据的不断增加,可以通过合并主题分组、引文网络和关键词共用的方法来减少这种统计错误。
英文摘要:
Measuring science is based on comparing articles to similar others. However, keyword-based groups of thematically similar articles are dominantly small. These small sizes keep the statistical errors of comparisons high. With the growing availability of bibliographic data such statistical errors can be reduced by merging methods of thematic grouping, citation networks and keyword co-usage.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。