科技情报研究2024，Vol.6Issue(2)：58-71,14.DOI:10.19809/j.cnki.kjqbyj.2024.02.006
跨学科知识发现及其生长路径挖掘研究
Interdisciplinary Knowledge Discovery and Knowledge Growth Path Mining:Perspective of Interdisciplinary Application of National Natural Science Foundation of China
摘要
Abstract
[Purpose/significance]In the application for NSFC projects,the same scholar uses different fund codes at different times,which promotes the integration and growth of interdisciplinary knowledge to a certain extent.Therefore,based on the interdisciplinary application for the National Natural Science Foundation of China,this paper explores interdisciplinary knowledge and its integrated growth path.[Method/process]The interdisciplinary measurement indicators were improved and optimized based on the hierarchical structure of NSFC discipline application code to identify the most interdisciplinary knowledge.Subsequently,a type of heterogeneous network of interdisciplinary knowledge and first-level disciplines was constructed,and interdisciplinary knowledge community discovery and growth path mining were realized based on RankClus.[Result/conclusion]Through research,it is found that there are 12 significant interdisciplinary knowledge clusters and 6 obvious interdisciplinary knowledge growth paths.Their interdisciplinary knowledge paths are Life Science-Medical Science(C-H),Chemical Science-Engineering and Materials Science(B-E),Life Science-Earth Science(C-D),Mathematical and Physical Science-Information Science-Management Science(A-F-G),Mathematical and Physical Science-Earth Science-Engineering and Materials Science(A-D-E),Chemical Science-Management Science(B-G).关键词
跨学科知识/国家自然科学基金/知识生长路径/跨学科测度指标Key words
interdisciplinary knowledge/National Natural Science Foundation/knowledge growth path/interdisciplinary measurement indicators分类
社会科学引用本文复制引用
吴小兰,章成志..跨学科知识发现及其生长路径挖掘研究[J].科技情报研究,2024,6(2):58-71,14.基金项目
江苏高校哲学社会科学研究重大项目"基于可解释图谱的跨学科同行评审专家推荐研究"(编号:2021SJZDA176) （编号:2021SJZDA176）
