We look at the network of mathematicians defined by the hyperlinks between their biographies on Wikipedia. We show how to extract this information using three snapshots of the Wikipedia data, taken in 2013, 2017 and 2018. We illustrate how such Wikipedia data can be used by performing a centrality analysis. These measures show that Hilbert and Newton are the most important mathematicians. We use our example to illustrate the strengths and weakness of centrality measures and to show how to provide estimates of the robustness of centrality measurements. In part, we do this by comparison to results from two other sources: an earlier study of biographies on the MacTutor website and a small informal survey of the opinion of mathematics and physics students at Imperial College London.
翻译:我们查看了维基百科上以其传记之间超链接界定的数学家网络。 我们用2013年、 2017年和2018年的维基百科数据三张快照展示了如何提取这些信息。 我们演示了这些维基百科数据如何通过进行核心分析来利用维基百科数据。 这些措施表明,希尔伯特和牛顿是最重要的数学家。 我们用我们的例子来说明核心计量措施的优缺点,并展示如何提供中心度测量的强健性估计。 部分地,我们通过比较其他两个来源的结果来这样做:早期对麦克图尔网站的传记的研究,以及对伦敦帝国学院数学和物理学学生意见的小规模非正式调查。