基于作者—核心关键词2-模网络的潜在跨学科合作组合识别——以图书情报学与计算机科学为例

Identification of the Potential Interdisciplinary Cooperation Combinations Based on 2-mode Net of Author and Keywords: Taking Library and Information Science and Computer Science for Example

[目的/意义]在跨学科合作日趋普遍的背景下,提出一种识别潜在跨学科合作组合的方法。[方法/过程]以图书情报学与计算机科学为例,筛选能代表每篇文章研究对象、问题或方法的关键词作为核心关键词,构建跨学科作者—核心关键词2-模网络,定义作者潜在跨学科合作潜力指数模型并计算、识别最佳跨学科合作组合。[结果/结论]在实证研究中,识别出图书情报学与计算机科学潜在跨学科合作研究主题的跨学科潜在合作者及最佳合作组合。

[ Purpose/significance ] As the interdisciplinary cooperation becomes popular, this paper puts forward a method of recognizing potential interdisciplinary cooperation combinations. [ Method/process ] Taking Library and Information Science （LIS） and Computer Science as examples, the paper selects the words that can generalize the selected papers＇ research projects, issues or methods as keywords to build 2-mode net of author-keywords. Then the paper defines authors＇ potential interdisciplinary coopera- tion index model, and calculates and recognizes the best interdisciplinary cooperation combinations. [ Result/conclusion ] In the empirical research, the paper recognizes the potential cooperators and the best cooperation combinations in LIS and Computer Science.