用关键词共现网络追踪物理学的演变
Tracing the evolution of physics with a keyword co-occurrence network
摘要：
描述科学的发展是揭示科学发展趋势和建立科学分类体系的重要工作。本文通过观察关键词共现网络的结构和变化来考察科学的演化。从韩国物理学会专家选择的七个目标物理领域及其初始关键词开始，我们生成关键词同现网络，以便使用我们提出的方法更好地捕获拓扑结构。通过这种方式，我们可以从一小部分初始关键字中构建一个更相关、更丰富的关键字网络。利用这些网络，我们通过检测社区并提取每个社区的核心关键词来成功地识别科学子领域。此外，我们追踪时间快照关键字网络的子领域的时间演变，由此产生的社区成员的时间变化解释了研究领域的演变。我们的方法跟踪的关键字共现网络的研究领域的演变，可以揭示识别和评估科学的演变。
英文摘要：
Describing the evolution of science is a salient work not only for revealing the scientific trend but also for establishing a scientific classification system. In this paper, we investigate the evolution of science by observing the structure and change of keyword co-occurrence networks. Starting from seven target physics fields and their initial keywords selected by experts from the Korean Physical Society, we generate keyword co-occurrence networks better to capture topological structure with our proposed approach. In this way, we can construct a more relevant and abundant keyword network from a small set of initial keywords. With these networks, we successfully identify the scientific sub-field by detecting communities and extracting core keywords of each community. Furthermore, we trace the temporal evolution of sub-fields with the time-snapshot keyword network, the resultant temporal change of the community membership explains the evolution of the research field well. Our approach for tracing the evolution of the research field with a keyword co-occurrence network can shed light on identifying and assessing the evolution of science.
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。
