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

作　　者：刘小慧[1] 李长玲[1] 刘运梅[1] 付希善 

机构地区：[1]山东理工大学科技信息研究所,山东淄博255049

出　　处：《情报理论与实践》2018年第2期105-110,共6页Information Studies:Theory & Application

基　　金：国家社会科学基金项目"基于量化与质性数据的跨学科合作行为研究"的成果之一;项目编号:16BTQ078

摘　　要：[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.

关 键 词：2-模网络 跨学科合作 图书情报学 计算机科学 

分 类 号：G353.1[文化科学—情报学]