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基于作者—关键词—引文多重共现的超网络知识关联研究 被引量:15

Research on the Knowledge Association of Super-network Based on the Multiple Co-occurrence of Author,Keywords and Citation
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摘要 [目的/意义]科技文献之间各式各样的关联关系形成错综复杂的网络,其结构具有多层性、多重性和嵌套性,可以采用超网络描述和揭示。[方法/过程]构建基于作者—关键词—引文3个子网的多重共现超网络模型,来揭示多层、多重、嵌套的异质共现关系,并以图书馆、情报与文献学学科领域的"知识服务"主题为例进行实证分析。[结果/结论]该模型能够揭示科技文献网络同质节点的同质关联关系和异质节点的异质关联关系,为揭示科技文献间的隐性关联提供新的研究方法和范式。 [Purpose/significance] Various incidence relation between scientific and technical literatures form a complex isomerism network,which structure is multilayer,multiplicity and nested,can be described and revealed by super-network.[Method/process] This paper constructs the multiple co-occurrence super-network model based on 3 subnets of author,keywords and citation in order to reveal the heterogenic co-occurrence of multilayer,multiple and nested relationship,and takes the theme of "knowledge service" in library and information science as example to do empirical research and analysis.[Result/conclusion] The model can reveal the homogeneous relationship of homogeneous nodes in science and technology literature network and the heterogeneity of heterogeneous nodes,so as to provide a new research method and paradigm for revealing the hidden relationship between scientific and technical documents.
出处 《情报理论与实践》 CSSCI 北大核心 2016年第7期20-26,共7页 Information Studies:Theory & Application
基金 河南省哲学社会科学规划项目"基于科技文献的知识超网络模型构建及隐性关联发现"的成果之一 项目编号:2013BZH010
关键词 知识关联 多重共现 超网络 knowledge association multiple co-occurrence super-network
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