基于综合指数和知识图谱的水族文献核心作者群分析研究

Research on the core author group analysis of the Shui Nationality literature based on comprehensive index and knowledge map

大数据时代,科研成果层出不穷,为了让科研工作者在海量文献中精准识别出文献的核心作者和科研群体,挖掘出作者间的合作关系,文章提出了一种基于综合指数和知识图谱的水族文献核心作者群识别方法。该方法采用Python抓取中国知网1953至2018年间990篇水族文献,结合发文量和被引用量构建综合指数遴选水族文献核心作者前20位,基于知识图谱和共现矩阵构建水族文献作者间的合作关系。据此梳理出我国水族文献的核心科研群体,明晰了水族研究的核心人物和团队现状,为水族文化研究提供了科学指引和参考依据,对传承与弘扬民族传统文化具有重要意义。

In the era of big data, scientific research results have emerged in an endless stream. To accurately identify the core authors and research groups in the vast literature, and to explore the cooperation between authors, this paper proposes a method for identifying the core authors of Shui literature based on comprehensive index and knowledge map. This method uses Python to capture 990 Shui documents from 1953 to 2018 in China, and combines the volume of publications and the cited quantity to construct a comprehensive index to select the top 20 core authors of Shui literature. Based on the knowledge map and cooccurrence matrix, the authors of Shui literature are constructed. On this basis, the core scientific research groups of China’s Shui Nationality literature are sorted out, and the core figures and team status in studying Shui Nationality are clarified, which provides scientific guidance and reference basis for the study of Shui culture, and is of great significance for inheriting and carrying forward the national traditional culture.