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基于引文网络的当采跨学科知识交流中间人识别--以图书情报领域为例 被引量:6

Identification of Intermediary in Interdisciplinary Knowledge Exchange Based on Citation Network:Taking Library and Information Science for Example
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摘要 [目的/意义]基于引文网络识别跨学科交流中承担中间人角色的跨学科知识,一方面有利于了解跨学科交流现状,另一方面为后续基于中间人识别跨学科相关知识、促进跨学科合作研究奠定基础。[方法/过程]基于中间人角色分类理论,提出跨学科知识交流的中间人角色分类;构建模型,识别目标学科在当前跨学科交流中各类当采跨学科中间人。[结果/结论]选择图书情报学领域影响力较大、跨学科程度较高的6种期刊数据为样本,研究发现:当采跨学科输入守门型中间人有语义相似度、条件随机场、国家安全、智库等;当采跨学科输出代理型中间人有KANO模型、特征分析、智慧图书馆、研究热点等;当采跨学科输入输出沟通型中间人有政策分析、区块链、信息安全、网络舆情等。 [Purpose/significance]This paper is based on the citation network to identify the interdisciplinary knowledge that assumes the role of the intermediary in interdisciplinary communication.On the one hand,it helps to understand the current situation of interdisciplinary communication.On the other hand,it lays the foundation for the subsequent identification of interdisciplinary related knowledge based on the intermediary and the promotion of interdisciplinary collaborative research.[Method/process]Based on the role classification theory of the middleman,the role classification of the middleman for interdisciplinary knowledge exchange is proposed;a model is constructed to identify various types of interdisciplinary middlemen in the current interdisciplinary communication of the target discipline.[Result/conclusion]The data of 6 journals with great influence in the field of library and information science and high interdisciplinary degree were selected as samples.The research found that:interdisciplinary input gatekeeper intermediaries include semantic similarity,conditional random fields,national security,think tanks,etc.;interdisciplinary output agency intermediaries include KANO models,feature analysis,smart libraries,research hotspots,etc.;interdisciplinary input and output communication intermediaries include policy analysis,blockchain,information security,online public opinion,etc.
作者 李长玲 徐璐 范晴晴 荣国阳 Li Changling
出处 《情报理论与实践》 CSSCI 北大核心 2022年第2期129-136,共8页 Information Studies:Theory & Application
基金 国家社会科学基金重点项目“跨学科潜在知识生长点识别与创新趋势预测研究”的成果,项目编号:19ATQ006。
关键词 引文网络 跨学科知识交流 中间人分类理论 中间人识别 citation network interdisciplinary knowledge exchange middleman classification theory middleman recognition
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