基于引文网络的潜在跨学科合作者识别——以图书情报学为例  

Identification of Potential Interdisciplinary Collaborators Based on Citation Network:Taking Library and Information Science as an Example

作　　者：李长玲[1] 冯志刚[1] 刘运梅[1] 刘小慧[1] Li Changling;Feng Zhigang;Liu Yunmei;Liu Xiaohui(Science and Technology Information Research Institute of Shandong University of Technology, Zibo, 25504)

机构地区：[1]山东理工大学科技信息研究所,淄博255049

出　　处：《情报资料工作》2018年第3期93-98,共6页Information and Documentation Services

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"(编号:16BTQ078)的研究成果之一

摘　　要：文章以图书情报学为例,从18种核心期刊1996—2015年间的引文数据中抽取出五种作者跨学科引文关系,构建作者潜在跨学科合作强度模型,计算作者潜在跨学科合作强度,最终识别出该学科主要的潜在跨学科合作者,并将其归纳为知识互惠型、知识吸收型和知识辐射型三种潜在跨学科合作类型。该方法可以较全面地挖掘某一学科的潜在跨学科合作者,为潜在跨学科合作者识别提供了新视角,为跨学科合作开展提供了便利。Taking the library and information science as an example, the paper retrieves five author-interdisciplin-ary-citation-relations from the reference information of 18 core journals from 1996 to 2015, constructs the model of au-thor potential interdisciplinary collaboration strength, calculates the author potential interdisciplinary collaborationstrength, and finally identifies the potential interdisciplinary collaborators of the subject, and classifies them into threekinds of potential interdisciplinary cooperation types： knowledge reciprocity type, knowledge absorption type andknowledge radiation type. The method can excavate potential interdisciplinary collaborators of a subject more compre-hensively, providing a new perspective for the identification of potential interdisciplinary collaborators and facilitatinginterdisciplinary collaboration.

关 键 词：潜在跨学科合作者 引文网络 跨学科引文关系 

分 类 号：G353.1[文化科学—情报学]