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[目的 /意义]期刊耦合分析是从期刊吸收知识的共性进行期刊研究的方法,由于来源知识的分散性使得期刊耦合分析的应用效果较差。为改善其应用效果,提出一种融入引文内容信息的期刊耦合分析法。[方法/过程]该方法通过提取代表期刊引文内容的特征词,并通过融合函数将其融入传统的期刊耦合分析中。以图书情报学17种核心期刊为研究对象,分别构建了融入引文内容信息前、后的期刊网络,对两种期刊网络进行多维尺度分布对比、块模型划分对比、核心-边缘结构对比。[结果 /结论]结果发现,融入引文内容信息后期刊耦合分析的网络特征有了明显改善,其期刊分析能力得到显著提升。
[Purpose / Significance] Periodicals Coupling analysis is a method of conducting periodical studies from the commonalities of periodicals absorbing knowledge. Due to the decentralization of source knowledge, the application of periodicals coupled analysis is less effective. In order to improve its application effect, this paper proposes a periodical coupled analysis method that integrates citation information. [Methods / Processes] This method extracts the feature words that represent the content of journal citations and integrates them into the traditional periodical coupling analysis through the fusion function. Taking 17 core journals of library and information science as the research object, we build the journals network before and after the citation information, and compare the two journals networks in multidimensional scale distribution, block model division, core-edge structure comparison. [Results / Conclusions] The results show that the network features of periodical coupled analysis have been significantly improved after the citation information has been incorporated, and the periodical analysis ability has been significantly improved.