基于“学科-关键词”二模网络的交叉领域认知结构分析——以新冠肺炎研究为例  

An Analysis of the Cognitive Structure of Interdisciplinary Field Based on"Disciplinary-Keyword"2-Mode Network:A Case Study on Covid-19 Research

作　　者：操玉杰[1] 刘思岩 易明[1] 贺满 CAO Yujie;LIU Siyan;YI Ming;HE Man(School of Information Management,Central China Normal University,Wuhan 430079,China)

机构地区：[1]华中师范大学信息管理学院,湖北武汉430079

出　　处：《情报科学》2023年第4期62-71,共10页Information Science

基　　金：国家社会科学基金青年项目“词汇范式功能视角下交叉领域知识生长机制研究”(20CTQ024)。

摘　　要：【目的/意义】构建一种有效的交叉领域认知结构分析框架,以揭示具备多重角色的领域核心学科与主题,提升研究人员和管理部门对研究领域的整体认知能力。【方法/过程】结合交叉领域认知需求构建以“学科-关键词”二模网络为核心的认知结构分析框架,从知识单元、知识关系和知识群三个层次和学科、主题两个维度,对异质网络和同质网络进行对比分析,揭示研究领域的认知特征,并在“新冠肺炎”领域开展实证。【结果/结论】相较于同质网络,本文分析框架:①支持知识单元的多重特征解读,发现大部分共现热度高的学科同时也具备知识贡献大特征,多数处于交叉领域核心位置的关键词同时也是多学科共同关注的热点。②可挖掘知识关系的连接内容,能进一步解析学科共现所共同研究的主题和同时研究知识组合的学科。③能发现共词群与学科群间的关联,发现学科-关键词群是学科群和共词群的中间层,连接两者形成总分关系。【创新/局限】本研究为系统挖掘交叉领域认知结构和深入理解核心内容的多重特征提供了方法支持。在社群发现方法和认知维度还有待进一步优化。【Purpose/significance】To reveal the core disciplines and topics with multiple roles,and help researchers and management departments get the overall cognition of interdisciplinary field,we construct an effective analysis framework of cognitive structure.【Methods/process】Combining with the cognitive needs of the interdisciplinary field,an analysis framework of cognitive structure based on the"discipline-keyword"2-mode network was designed.The framework was composed of three levels as knowledge units,knowledge relationships and knowledge communities,and two dimensions as disciplines and topics.A comparative analysis of heterogeneous networks and homogeneous networks following this framework was conducted to mine the cognitive characteristics of interdisciplinary field.Then,we performed the empirical analysis on the Covid-19 research field.【Result/conclusion】Compared with homogeneous networks,the results show our framework has three advantages.Firstly,it helps to reveal the composite characteristics of knowledge units.Most high co-occurrence disciplines also have great knowledge contributions.The majority of core keywords in interdisciplinary field are also hot spots in multiple disciplines.Secondly,it excavates the connecting content of knowledge relationships.Common topics studied by discipline combinations and disciplines study keyword combinations could be further mined.Thirdly,it discovers the relationship among knowledge communities and discipline communities.The discipline-keyword communities connect the discipline communities and co-word communities as the middle layer in the classification relationships.【Innovation/limitation】This research provides method support for systematic mining cognitive structure and in-depth understanding of multiple characteristics of core content of interdisciplinary field.The community discovery methods and cognitive dimensions need to be further optimized.

关 键 词：交叉领域 “学科-关键词”二模网络 认知结构 新冠肺炎 知识网络 

分 类 号：G250.2[文化科学—图书馆学]