文章摘要
孙瑶,王贤文. 期刊与会议的混合共被引网络分析——以计算机科学领域为例. 中国科技期刊研究, 2018, 29(11): 1141-1147
期刊与会议的混合共被引网络分析——以计算机科学领域为例
Hybrid co-citation network analysis of journals and conferences: A case study in the field of computer science
投稿时间:2018-08-04  修订日期:2018-09-06
DOI:10.11946/cjstp.201808040692
中文关键词: 计算机科学  期刊  会议论文集  混合共被引  引文分析
英文关键词: Computer science  Journal  Conference proceeding  Hybrid co-citation  Citation analysis
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基金项目:国家自然科学基金(71673038);中央高校基本科研业务费(DUT18JC32)。
作者单位E-mail
孙瑶 大连理工大学科学学与科技管理研究所暨WISE实验室辽宁省大连市甘井子区凌工路2号 116024 859700012@qq.com 
王贤文 大连理工大学科学学与科技管理研究所暨WISE实验室辽宁省大连市甘井子区凌工路2号 116024 xianwenwang@dlut.edu.cn 
中文摘要:
      【目的】 比较期刊和会议论文集的影响力差异以及二者的关系,探索期刊与会议论文集的混合共被引分析方法。【方法】 以计算机科学领域为例,从澳大利亚计算研究与教育协会的期刊和会议排名系统中获取A类期刊和会议组成的数据集作为研究对象,基于中国计算机协会的计算机学科分类对期刊和会议名称进行学科标注。从Scopus数据库中抽取出大型混合共被引关系。最后构建期刊-会议混合共被引网络进行共被引分析。【结果】 期刊与会议论文集倾向同类内引用;同一学科聚类不明显;会议论文集在核心共被引网络中具有更强中介中心性,期刊文献在总体共被引网络中具有更强的中介中心性。【结论】 期刊与会议论文集倾向同类内引用;计算机科学领域内各学科融合程度高;高水平会议论文集应纳入部分学科学术评价指标。
英文摘要:
      [Purposes] This paper aims to compare the influence differences between journals and conference proceedings, figure out their relationship, and explore the hybrid co-citation analysis method of journals and conference proceedings. [Methods] Taking the field of computer science as an example, data sets of A-class journals and conferences were accessed from Computing Research and Education Association of Australasia. Based on the computer subject classification of China Computer Association, the title of journals and conferences were annotated. A large-scale co-citation relationship was extracted from the Scopus database, and a journal-conference hybrid co-citation network was constructed for co-citation analysis. [Findings] Both journals and conferences tend to cite in their own category; discipline clustering is not obvious; high-level conference proceedings have stronger betweenness centrality in the co-citation network, while journal articles have stronger betweenness centrality in the overall co-citation network. [Conclusions] Both journals and conferences tend to cite themselves; disciplines gather tightly in the field of computer science; high-level conference proceedings should also be accepted as academic evaluation indicators for specific fields.
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