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作 者:孙海生[1] Sun Haisheng(Library,Liaocheng University,Liaocheng 252059,China)
出 处:《现代情报》2019年第4期134-142,共9页Journal of Modern Information
基 金:山东省高等学校人文社会科学研究计划项目"基于复杂网络模型的文献引证网络基本规律研究"(项目编号:J18RB092)
摘 要:[目的/意义]已有研究对文献耦合关系和同被引关系比较的研究较少,本文比较两种关系在文献间建立联系的差异,并且比较耦合/同被引强度与文献相似度的相关性,分析耦合分析和同被引分析各自更适合哪些方面的应用。[方法/过程]根据复杂网络理论,构建文献耦合网络和同被引网络,实证比较文献耦合网络和同被引网络的拓扑性质。利用QAP关联分析,研究耦合关系、同被引关系与文献内容相似度的关系。[结果/结论]网络拓扑结构分析表明,耦合关系在文献之间建立的联系更普遍而且更稳定,更利于检索被引用次数较少的大多数文献;同被引关系在高被引文献之间建立的联系更紧密,利于检索和确定领域内的核心文献。QAP关联分析表明耦合强度和文献相似度的相关性更强,在文献聚类分析研究主题时,耦合强度更可靠。[Purpose/Significance]There are fewer compare studies on bibliographic coupling and co-citation analysis.In this paper,we compared connection between documents in bibliographic coupling network and co-citation network,furthermore,we studied the correlation between document similarity and strength.finally,we analyzed what applications they're more suitable for.[Method/Process]Based on complex network theory,bibliographic coupling network and co-citation network were constructed,and,some topological properties of bibliographic coupling network and co-citation network were compared empirically.QAP relational analysis was applied to study relationships between bibliographic coupling,co-citation and similarity of documents.[Result/Conclusion]From the point of view of topological properties of networks,bibliographic coupling established more common and more stable relations among documents,it was effective for retrieving most documents which were cited fewer times.Co-citation made higherly cited papers more connected,it was more effective for identifying and retrieving core documents of domains.QAP analysis showed that bibliographic coupling strength was a more reliable indication of subject similarity than co-citation.
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