基于关联数据的学术论文三维多属性学科交叉度计量研究

Research on the Three-Dimensional Multi-Attribute Measurement of Disciplinary Intersectionality in Academic Papers Based on Linked Data

[研究目的]通过关联数据构建的“学者-引文-主题”三维多属性框架计量学术论文学科交叉度,量化分析学术论文的学科交叉性,对宏观把握学科交叉态势,促进学科发展具有重要意义。[研究方法]将单篇学术论文的主题、作者和引文视为互相连接的实体,以实体间关系的学科交叉性反映学术论文的学科交叉性。基于网络凝聚度学科交叉指数Φ改进计算公式,通过SPARQL检索语句计算学科交叉度,并选取LIBRARY&INFORMATION SCIENCE RESEARCH期刊在2017—2022年间发表的学术论文作为实验数据源,计算和分析以该期刊为代表的图情学科的学科交叉性。[研究结论]结果表明,该方法能将更多维度的数据纳入学科交叉测度的研究中,反映学科交叉的丰富性、平衡性和差异性,同时能从双向反映学科交叉研究的知识流动趋势。

[Research purpose]The purpose of this study is to quantitatively analyze the disciplinary intersectionality of academic papers by measuring the degree of disciplinary intersectionality of literature through the three-dimensional multi-attribute framework of"Scholar-Citation-Topic"constructed from linked data.[Research method]The subject,authors and citations of a single academic paper are considered as interrelated entities,and the disciplinary intersectionality of the relationships between the entities is used to reflect the disciplinary intersectionality of the academic paper.Relationships between entities are used to reflect the disciplinary intersectionality of academic papers.Based on the calculation formula for the improvement ofΦ,index of the network cohesion degree disciplinary intersectionality,the disciplinary intersectionality is calculated through the SPARQL search statement.Selecting LIBRARY&INFORMATION SCIENCE RESEARCH journals published between 2017-2022 as the experimental data source,the disciplinary intersectionality of the graphical disciplines represented by the journals is calculated and analyzed.[Research conclusion]The results show that the method can incorporate more dimensions of data into the study of disciplinary intersectionality measurement,reflecting the richness,balance and difference of disciplinary intersectionality,as well as the trend of knowledge flow of disciplinary intersectionality research in both directions.