基于作者—关键词—引文多重共现的超网络知识关联研究

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[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] The various types of relationships between scientific literature form an intricate network. Its structure is multi-layered, multiplicity and nested and can be described and revealed by hyper-networks. [Methods / Processes] This paper constructs a multi-co-occurrence super-network model based on author-key word-quotation 3 subnets to reveal heterogeneous co-occurrence relations in multiple layers, multiple and nests. Domain “knowledge service ” theme as an example for empirical analysis. [Result / Conclusion] This model can reveal the homogeneous relation of heterogeneous nodes and heterogeneous association of heterogeneous nodes in scientific literature network, and provide a new research method and paradigm for revealing the implicit relationship between scientific literature.
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