Network measures for co-word analysis.

Bibliometric studies offer numerous ways of analyzing scientific work. For example, co-citation and bibliographic coupling networks have been widely used since the 1960s to describe the segmentation of research and to look the development of the scientific frontier. In addition, co-authorship and collaboration networks have been employed for more than 30 years to explore the social dimension of scientific work. This paper introduces publication authorship as a complement to these established approaches. Three data sets of academic articles from accounting, astronomy, and gastroenterology are used to illustrate the benefits of publication authorship for bibliometric studies. In comparison to bibliographic coupling, publication authorship produces significantly better intra-cluster cosine similarities across all data sets, which in the end yields a more fine-grained picture of the research field in question. Beyond this finding, publication authorship lends itself to other types of documents such as corporate reports or meeting minutes to study organizations, movements, or any other concerted activity.文献计量学（Bibliometrics）研究为科研工作分析提供了多元路径。例如，共引用（co-citation）与文献耦合（bibliographic coupling）网络自20世纪60年代起便被广泛应用，用于刻画研究领域的分化态势并探析科学前沿的发展脉络。此外，合著（co-authorship）与合作网络的应用已有三十余年历史，用于挖掘科研工作的社会维度特征。本文提出论文作者归属（publication authorship）方法，作为上述经典分析路径的补充。本文选取会计学、天文学与胃肠病学领域的学术论文数据集各一套，用以展现论文作者归属方法在文献计量研究中的应用优势。相较于文献耦合方法，论文作者归属方法在全部三类数据集上均能生成显著更优的簇内余弦相似度，最终可更精细化地刻画目标研究领域的细分图景。除此之外，论文作者归属方法还可拓展应用于企业报告、会议纪要等其他类型文档，用于分析组织动态、群体运动或其他各类协同活动。