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| 基于共词分析和可视化的我国神经病学领域热点监测 | |
| 引用本文： | 魏丽,张云秋. 基于共词分析和可视化的我国神经病学领域热点监测[J]. 中华医学图书情报杂志, 2015, 24(1): 61-67 |
| 作者姓名： | 魏丽 张云秋 |
| 作者单位： | 吉林大学公共卫生学院医学信息学系,吉林 长春,130021 |
| 基金项目： | 吉林大学公共卫生学院一万方数据股份有限公司联合实验室二期合作项目“基于万方医学文献的学科热点探测模型的设计与实现”（371143433427） |
| 摘 要： | 应用共词分析和可视化综合分析方法,分析了我国神经病学领域的研究热点及发展变化。结果表明,高频词之间的共现网络关系可以反映学科领域的主题结构和热点,类团演变和类团地位分析,可以动态地反映研究热点和发展动向,综合分析词和类团则可以直观而全面地展现研究热点及发展。 |
| 关 键 词： | 共词分析 聚类分析 战略坐标图 社会网络分析 神经病学 |
| 收稿时间： | 2014-09-11 |
Co-words and visual analysis-based monitoring of hot spots in domestic neurology |
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| WEI Li and ZHANG Yun-qiu. Co-words and visual analysis-based monitoring of hot spots in domestic neurology[J]. Chinese Journal of Medical Library and Information Science, 2015, 24(1): 61-67 | |
| Authors: | WEI Li and ZHANG Yun-qiu |
| Affiliation: | Department of Medical Informatics, Jilin University Public Health School, Changchun 130021, Jilin Province, China |
| Abstract: | The research hot spots and development in domestic neurology were analyzed by co-words analysis, visual analysis and the combination of them, which showed that the co-occurrence relation between high frequency words could display the structure and hot spots of subject headings in neurology, analysis of the cluster evolution and position could dynamically reveal the hot spots and development in neurology, and comprehensive analysis of words and their classes could directly and overall demonstrate the hot spots and development in neurology. |
| Keywords: | Co-words analysis Cluster analysis Strategic coordinate diagram Social network analysis Neurology |
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