可视化和量化科学主题演变的复杂网络方法
Complex-network approach for visualizing and quantifying the evolution of a scientific topic
摘要：
跟踪特定主题的演变是一个学科领域，属于映射科学知识结构的一般问题。文献计量学数据库通常用于研究科学主题从出现到消亡或与其他主题合并的历史。在这一章中，作者提出了一个分析的学术反应的灾难，发生在1986年在Chornovich（切尔诺贝利），乌克兰，被认为是历史上最具破坏性的核电站事故之一。使用书目数据库的Chornobyl相关的论文在不同的科学领域的分布进行了分析，因为它们的增长率和性质的合著网络。描述性统计的元素和复杂网络理论的工具被用来突出跨学科以及国际影响。特别是，复杂网络科学的工具，使信息可视化补充进一步的定量分析。本章的另一个目标是提供一个简单的教学介绍复杂网络分析的应用可视化数据表示和跨学科的通信。
英文摘要：
Tracing the evolution of specific topics is a subject area which belongs to the general problem of mapping the structure of scientific knowledge. Often bibliometric data bases are used to study the history of scientific topic evolution from its appearance to its extinction or merger with other topics. In this chapter the authors present an analysis of the academic response to the disaster that occurred in 1986 in Chornobyl (Chernobyl), Ukraine, considered as one of the most devastating nuclear power plant accidents in history. Using a bibliographic database the distributions of Chornobyl-related papers in different scientific fields are analysed, as are their growth rates and properties of co-authorship networks. Elements of descriptive statistics and tools of complex-network theory are used to highlight interdisciplinary as well as international effects. In particular, tools of complex-network science enable information visualization complemented by further quantitative analysis. A further goal of the chapter is to provide a simple pedagogical introduction to the application of complex-network analysis for visual data representation and interdisciplinary communication.
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。
