| 知识域可视化中的共被引与耦合研究综述 |
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| 引用本文： | 陶颖,周莉,宋艳辉.知识域可视化中的共被引与耦合研究综述[J].图书情报工作,2017,61(11):140-148. |
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| 作者姓名： | 陶颖 周莉 宋艳辉 |
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| 作者单位： | 1. 哈尔滨商业大学图书馆 哈尔滨 150028;
2. 杭州电子科技大学管理学院 杭州 310018 |
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| 基金项目： | 本文系国家社会科学基金项目"文献计量学视角下的NPE及其专利的计量与评价"（项目编号：13CTQ036）、浙江省自然科学基金项目"基于专利计量的Patent Troll研究"（项目编号：LY17G030032）和杭州市软科学项目"杭州市创新型城市建设阶段评估与发展思路研究"（项目编号：20140834M07）研究成果之一。 |
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| 摘 要： | 目的/意义] 知识域可视化是信息可视化衍生出的一个重要分支。基于图书情报学、科学学的研究方法,对知识域可视化研究成果中的共被引与耦合进行全面梳理,分析共被引与耦合在知识域可视化方法中的具体应用,总结知识域可视化的共被引与耦合新发展,引导和推动知识域可视化研究的深入开展。方法/过程] 在界定知识域、知识域可视化和构建知识域可视化研究框架的基础上,对知识域可视化方法的共被引与耦合进行了归纳和总结,分析了文献共被引方法、作者共被引、期刊共被引、文献耦合方法、作者耦合方法这5种主要的共被引与耦合方法。结果/结论] 认为以上5种方法是知识域可视化研究的主要方法,而多元引用方法、融合替代计量学的共被引与耦合代表了知识域可视化的新发展。
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| 关 键 词： | 知识域 可视化 共被引 耦合 |
| 收稿时间： | 2017-04-21 |
The Overview of Co-citation and Coupling in Knowledge Domain Visualization |
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| Tao Ying,Zhou Li,Song Yanhui.The Overview of Co-citation and Coupling in Knowledge Domain Visualization[J].Library and Information Service,2017,61(11):140-148. |
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| Authors: | Tao Ying Zhou Li Song Yanhui |
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| Institution: | 1. Library, Harbin University of Commerce, Harbin 150028;
2. School of Management, Hangzhou Dianzi University, Hangzhou 3210018 |
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| Abstract: | Purpose/significance]Knowledge domain visualization is an important research branch that derives from knowledge visualization. This paper combs the research results of co-citation and coupling in knowledge domain visualization based on the research method of book information science and science. It analyzes the basic principle, concrete application of co-citation and coupling, and puts forward the new development of co-citation and coupling in knowledge domain visualization. It also guides and promotes the comprehensive and in-depth development of knowledge domain visualization research. Method/process]On the basis of the definition of knowledge domain, knowledge domain visualization and the research framework of knowledge domain visualization, this paper concluded and summarized co-citation and coupling in knowledge domain visualization method. It analyzed the five main methods of co-citation and coupling:document co-citation method, author co-citation, journal co-citation, document coupling method and author coupling method. Result/conclusion]We believe that the above five methods are the main methods of knowledge domain visualization. While the multiple citation method, co-citation and coupling of fusion altmetrics represent the new development of knowledge domain visualization. |
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| Keywords: | knowledge domain visualization co-citation coupling |
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