Haunschild Robin, Bornmann Lutz
Max Planck Institute for Solid State Research, Stuttgart, Germany.
Science Policy and Strategy Department, Administrative Headquarters of the Max Planck Society, Munich, Germany.
PLoS One. 2024 Dec 5;19(12):e0308041. doi: 10.1371/journal.pone.0308041. eCollection 2024.
The Social Systems Citations Theory (SSCT) is the most recent theory of citations integrating previous theories. It focuses on communications in science that are formally manifested as publications and citations in scientific communication networks. These networks can be observed and empirically studied by using science maps. Science maps typically visualize networks of communication elements such as key words, cited references, and subject areas. In this study, a procedure to create global overlay maps using OpenAlex is proposed. It is an important advantage of OpenAlex publication and citation data that they are freely available. Overlay maps visualize how the overlaid data (e.g., research of an institution) are positioned in the whole science system (the base map). Six different base maps are provided to the user for their own applications. Using one of these base maps, example overlay maps for two individuals (the authors of this paper) and four research institutions are shown and discussed. A method for normalizing the overlay data is also proposed that can be used for the comparison of two different overlaid units. Overlay maps using raw overlay data display general concepts more pronounced than specific concepts. It is the other way around with their counterparts using normalized overlay data. Advantages and limitations of the proposed overlay approach based on OpenAlex are discussed.
社会系统引文理论（SSCT）是整合先前理论的最新引文理论。它关注科学领域中以科学交流网络中的出版物和引文形式正式呈现的交流。这些网络可以通过科学图谱进行观察和实证研究。科学图谱通常会直观展示诸如关键词、被引参考文献和学科领域等交流元素的网络。在本研究中，提出了一种使用OpenAlex创建全球叠加图的程序。OpenAlex的出版物和引文数据可免费获取，这是其重要优势。叠加图能直观呈现叠加数据（如一个机构的研究）在整个科学系统（底图）中的位置。为用户提供了六种不同的底图供其自行应用。使用其中一种底图，展示并讨论了两位个人（本文作者）和四个研究机构的示例叠加图。还提出了一种用于归一化叠加数据的方法，该方法可用于比较两个不同的叠加单元。使用原始叠加数据的叠加图比特定概念更明显地展示一般概念。使用归一化叠加数据的叠加图则相反。讨论了基于OpenAlex提出的叠加方法的优缺点。
