通过引文分析看待计算机科学；索尔顿和伯格马克
- 2020 年 1 月 6 日
- 筆記
在过去的二十年里，计算机科学经历了迅猛和多样化的发展 。为了更好地理解这门学科的结构，我们使用DBLP数据库对一组计算机科学文献进行了分析。为了深入了解该队列的特征及其组成部分之间的关系，我们构建了基于直接引用或共同引用的文章级别集群，并将它们与所有科学期刊分类(ASJC)中的主要和次要主题类别进行了协调。我们通过直接引用和共引用描述了聚类的互补见解，并指出了计算机科学出版物及其范围的增长。我们的分析显示了跨类别的集群，其中一些与外部领域(如生物科学)相互作用，而另一些仍然集中关注内部。
原文题目：Viewing Computer Science through Citation Analysis; Salton and Bergmark Redux
原文：Computer science has experienced dramatic growth and diversi- fication over the last twenty years. Towards a current understanding of the structure of this discipline, we analyze a cohort of the computer science liter- ature using the DBLP database. For insight on the features of this cohort and the relationship within its components, we constructed article level clusters based on either direct citations or co-citations, and reconciled them to major and minor subject categories in the All Science Journal Classification (ASJC). We described complementary insights from clustering by direct citation and co-citation, and both point to the increase in computer science publications and their scope. Our analysis shows cross-category clusters, some that interact with external fields, such as the biological sciences, while others remain inward looking.
原文作者：Sitaram Devarakonda, Dmitriy Korobskiy, Tandy Warnow, George Chacko
原文地址：https://arxiv.org/abs/1912.10521
