论文部分内容阅读
[目的/意义]在跨学科现象日趋明显的背景下,为促进学科融合发展,为跨学科合作研究提供新思路,文章运用闭合式非相关知识发现方法,对两学科的潜在跨学科合作研究主题进行识别,并发现潜在主题的关联过程。[方法/过程]基于跨学科关键词共现网络,综合运用Ucinet和VBA,筛选距离矩阵中距离为2的关键词对作为潜在跨学科合作研究主题;定义主题跨学科合作潜力指数(TICPI)及其计算公式,计算主题的跨学科合作潜力;定义联系路径的可行性强度(PV)寻找合作主题的最佳联系路径。[结果/结论]在以情报学与计算机科学为例的实证研究中,发现两个学科存在间接联系的非相关跨学科合作主题及其最佳联系路径。
[Objective / Significance] Under the background that interdisciplinarity is becoming increasingly obvious, in order to promote interdisciplinary development and provide new ideas for interdisciplinary cooperation research, this paper applies the closed-form non-related knowledge discovery method to investigate the potential interdisciplinary cooperation topics in both disciplines Identify and identify underlying topics related to the process. [Methods / Processes] Based on interdisciplinary keyword co-occurrence networks, Ucinet and VBA are comprehensively applied to screen key words pairs with a distance of 2 in the distance matrix as potential interdisciplinary research topics. The theme interdisciplinary cooperation potential index (TICPI) and Its calculation formula to calculate the interdisciplinary cooperation potential of the topic; Define the Feasibility Intensity (PV) of the contact path to find the best contact path for the cooperation topic. [Results / Conclusions] In the empirical study, which took intelligence science and computer science as examples, it was found that there were indirect interdisciplinary themes of non-interdisciplinary cooperation between two disciplines and the best connection paths.