科学结构地图的领域群自动识别研究

Auto-Identifying Research Area Groups in Science Map

【目的】探索科学结构地图中研究领域群的自动识别方法,快速勾勒科学结构全貌,增加时效性。【方法】利用特征词测度研究领域的主题相似性,同时考虑研究领域的相对位置关系,将位置相邻、主题相似的研究领域划为领域群。设计有效性评价指标对比不同方法的最优参数组合,推荐最优方法。【结果】该方法能有效地识别出不同时期科学结构地图的领域群。【局限】方法的有效性是基于"科学结构地图"数据的实验结果得到,参数组合是否适用于其他数据还有待进一步验证。【结论】为科学结构地图领域群的自动识别提供了有效方法。

[Objective] This paper aims to establish an automatic method to identify research area groups and outline the science map quickly. [Methods] First, we used feature words to measure topic similarity, and then divided adjacent research areas with similar/related topics into groups. Second, we designed an effectiveness evaluation index to compare different optimal parameters combination. [Results] The proposed method could identify research area groups in science maps effectively. [Limitations] Our study was conducted with data from Mapping Science Structure 2015. More research is needed to investigate the proposed method＇s compatibility with other cases. [Conclusions] The proposed method could automatically identify research area groups in the science map.