摘要：

【目的】提高期刊耦合分析结果的准确度,并通过分析学术期刊在不同数据集上的耦合强度揭示学科内部、学科内部与学科外部的知识传播,为细粒度分析期刊耦合关系提供了新的思路。【方法】以我国图书情报类17种CSSCI核心期刊2009—2014年的所有论文为研究对象,建立了17种期刊的三个（国内学科内部的、国内学科外部的、国外的）参考文献数据集;在Ucinet6.0环境,从吸收学科内部知识、学科外部知识、国外知识三个维度上对期刊耦合网络进行了凝聚子群分析、密度分析和中心性分析。【结果】在三个不同的维度上,17种期刊的子群划分结果有差异、相同的期刊子群成熟度有差异、同一期刊在学科中的地位和作用有差异。【结论】在不同维度上进行期刊耦合分析,能够从不同视角观察学科期刊间的亲疏关系,更细致、全面地揭示期刊对应学科的知识结构和发展成熟度。

关键词: 期刊耦合分析, 耦合强度, 社会网络分析

Abstract:

[Purposes]In order to improve the accuracy of the journal coupling analysis results,this paper puts forward a new formula of the coupling strength,and reveals the know ledge dissemination w ithin subject inners and between the inside and the outside of the subject field by calculating the coupling strength of academ ic journals,which provides a new way for the fine-grained analysis of the journal coupling relation.[Methods]We took all the papers of 17 kinds of CSSCI journals of library and information science from 2009 to 2014 in China as the research object.Through the journal coupling analysis and the social network analysis,we established three reference data.we analyzed the condensing subgroup,density and center of the journal coupling in Ucinet6.0.[Findings]It is found that there are differences in the subgroups, thematurity, the status and the function of 17 kinds of library and information science journals.[Conclusions]The journal coupling analysis on different data sets can fully reveal the relationship of science journals in different dimensions,and the conclusion of the journal coupling analysis ismore detailed and reliable.

Key words: Journal coupling analysis, Coupling strength, Social network analysis